AI Jobs in the UAE

We are looking for a Vice President of AI to lead the design, delivery, and scale-up of AI at a enterprise organisation here in Dubai.Open to international talent - relocation available!This role is for a builder, not a theorist - someone who has taken AI use cases from proof of concept through to real, operational deployment, with measurable business impact.What you’ll doDefine and execute the enterprise AI roadmapIdentify and prioritise high-impact AI use casesLead AI initiatives from POC to productionDesign and deploy Agentic AI systems that automate workflows and support decision-makingLead AI product and engineering teamsValidate ROI and ensure AI delivers tangible business valueWhat we’re looking forSenior leadership experience in AI, data, or advanced digital rolesProven experience delivering AI solutions end-to-end (POC → deployment)Hands-on experience with Agentic AI architecturesStrong product and engineering leadership capabilityCommercial mindset with a focus on outcomes and ROIBackground can be B2B or B2C - impact matters more than industry.Why this roleSenior mandate with real ownershipAbility to shape AI at enterprise scaleFocus on delivery, not experimentationHigh visibility and business impact Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleDeep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with advanced LLMs, developing solutions that have a tangible impact on millions of customers around the world.We're looking for a Deep Learning Engineer to collaborate closely in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions, while striving for continuous improvement.Up to shape the future of Revolut’s AI-driven capabilities? Let's get in touch.What You'll Be DoingBuilding AI voice products from the ground up, including voice assistants, AI-powered call centre agents, AI-driven outbound sales agents, and moreDeveloping real-time, user-facing features powered by LLMs and deep learning modelsDelivering scalable, production-grade AI solutions that support millions of customersCollaborating across teams (Product, Engineering, Data, Ops) to integrate advanced AI in meaningful waysExperimenting and iterating on advanced voice and NLP systemsWhat You'll NeedProduction experience in deep learning within natural language processing and voice technologiesA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineExpertise with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympiad medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

As a Full-Stack + AI Engineer, you’ll own verticals from UI to backend to AI pipelines. You’ll be at the core of how users talk to BOTty, get suggestions, and trust automation. Frontend Desktop/Cloud/AR mobile interface for fallback control Secure web portal for automation editing, logs, and remote access Explainability UI: “Why did BOTty do this?” Backend Local-first backend for event logs, ZeroConf device discovery, and API routing Authenticated SSL tunnel gateway (no cloud relay)Real-time routines, preferences, and presence tracking AI & Automation Build and fine-tune agentic routines (Learn → Observe → Adapt → React) On-device ML for micropatterns, low-latency NLU, and safety checks Personalization ledger, feedback loops, and bandit-style decision tuning Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Requirements Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Have built and shipped agentic AI apps, ML-driven products, or full-stack SaaS Love debugging both frontend microinteractions and low-level sensor events Are comfortable working on hardware like Jetson/RPi, or eager to learn Enjoy working across disciplines — AI, UX, home automation, privacy Can take vague product ideas and make them real, fast Bonus if You… Won or placed in hackathons Built your own SaaS product(s) or dev tools Know Zigbee, BLE, Matter, or embedded Linux Have contributed to open-source AI or Web3 projects Enjoy voice UX, reactive UI, or agent architectures Benefits Competitive compensation + equity Work directly with founding team on product 0 → 1 Build something with lasting impact, privacy-first Fast-paced, respectful, async-friendly team culture Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingUnderstanding our business and its processes through our dataApplying this understanding and knowledge of data to help product and services teamsDesigning key metrics to measure different aspects of the businessCreating and maintaining new aggregated views and tables to simplify data queryingMaintaining and creating new dashboards to track metrics and visualise insightsPromoting data literacy across the company, organising and holding workshopsWhat You'll NeedExperience in an analytical role creating impactful solutionsA background/education in a quantitative disciplineGreat skills with Python, SQL or other programming languagesEvidence of solid mathematical and statistics knowledgeExperience in the financial services/banking industryNice to haveAn advanced degree in a core STEM subjectExpertise with additional programming languages (Java, Scala, C++, etc.)Experience in accountingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.21/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: perform manual segmentation of medical images; critically appraisal research findings; describe and justify results of statistical analysis, discuss study results with recent literature.Minimum QualificationMS/PhD degree in relevant sphere of studies will be of advantage basic knowledge of medical and biological statistics, - good writing skills in Academic English, - experience in conducting medical and/or biological studies,Preferred QualificationAs aboveExpected SkillsCommunicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.28/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.Our shared values guide the way we behave to make a positive, enduring impact:During your tenure as a Business Analyst, you will demonstrate and develop your capabilities in the following areas:Team with others to produce high quality deliverables to ensure superior client experienceCollect, assimilate, and analyze relevant data and use standard processes and tools to help surface and support solutionsUnderstand basic financial concepts and able to research and find financial and business performance informationConduct in depth research and benchmarking analysis to provide clients and team with insights on best practices and bring forward potential solutionsApply structured thinking and frameworks to organize concepts, identify gaps, and communicate ideas clearly to team members Find and leverage a diverse set of resources that can provide team with insights and potential solutions and share findings with othersPresent an approachable and professional style while engaging and communicating with others in an effort to build lasting relationships across clients and teamsValue and consider the diverse perspectives and backgrounds of colleagues and clientsApply technology fundamentals to client situations and demonstrate basic understanding of new and emerging technologies such as Robotic Process Automation (“RPA”), Artificial Intelligence (“AI”), IoT, Blockchain and cloudUnderstand how a business operates and support in the development and/ or improvement of business processesLeadership CapabilitiesBuild own understanding of our purpose and values while exploring opportunities for impactDemonstrate strong commitment to personal learning and development; act as a brand ambassador to help attract top talentUnderstand expectations and demonstrate personal accountability for keeping performance on trackDemonstrate ability to own work and deliverables efficiently with minimum supervisionActively focus on developing effective communication and relationship-building skills internally and with clients Seek ways to provide informal coaching and guidance to peers and share knowledge and skills with wider audiencesRequired majorsIndustrial engineering, Electronics engineering, Economics, Systems Engineering , Computer engineering, Software engineering, Computer Science, Management Information Systems, IT, Finance, Business Administration, Data, Analytics, Machine Learning, Business Administration, Information Systems, Business Management, Artificial Intelligence, Strategic Management, Business Strategy, Motion or Graphic Design, HR, Management, Administration, Industrial Engineering, Marketing and System Engineering, Finance, Accounting, Mechanical Engineering, Financial Engineering, Language & translation and MathQualifications And Technical CapabilitiesBased in the UAE – UAE NationalUndergraduate degreeMBA or a relevant master’s degree or certificate is a plusFluency in written and spoken English, Arabic is a plusExcellent knowledge in MS office applications especially in PowerPoint, Word and ExcelExcellent communication and people skills, with a strong emphasis on team workingAbility to operate and understand excellent project and program management disciplines including production of project plans and key quality program deliverablesStrong administrative and numeracy skills and ability to analyze complex data with good attention to detailsAbility to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hoursWillingness to travel (required) Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

About the Role:We are seeking a visionary Chief AI Officer to lead our AI strategy, innovation, and implementation across the organization. The ideal candidate will have a strong consultancy background, deep AI expertise across multiple domains, and the ability to bridge business strategy with cutting-edge AI solutions. This is a leadership role that combines technical mastery with strategic thinking and stakeholder management.Key Responsibilities:Strategic Leadership: Define and drive the organization’s AI strategy, aligning AI initiatives with business goals and market opportunities.Innovation & Transformation: Identify AI-driven opportunities across functions (engineering design, procurement, operations, marketing, finance, risk, etc.) and implement transformative solutions.Cross-disciplinary Expertise: Bring deep knowledge of AI/ML, NLP, computer vision, generative AI, reinforcement learning, and other emerging technologies.Consultancy Mindset: Leverage experience in client-facing or advisory roles to assess business challenges, design AI solutions, and communicate impact to executives and stakeholders.Team Leadership & Talent Development: Build, mentor, and lead a high-performing AI team, fostering a culture of innovation and continuous learning.Governance & Ethics: Ensure responsible AI practices, compliance with regulatory standards, and ethical deployment of AI technologies.Collaboration: Work closely with technology, product, and business teams to integrate AI solutions into business processes.Qualifications:Proven experience (10+ years) in AI strategy, AI/ML implementation, or consultancy with a focus on AI solutions.Strong cross-functional knowledge: experience applying AI across multiple industries or business domains.Hands-on experience with AI frameworks, tools, and platforms.Track record of leading complex AI initiatives from concept to deployment.Excellent communication skills: ability to translate technical concepts into business value for executive stakeholders.Strong analytical, problem-solving, and decision-making skills. Show more Show less

About The RoleWe're looking for a Chief AI Architect to lead a project with an overall AI vision, strategy, and execution, ensuring alignment with business objectives and long-term growth goals.You'll act as the principal architect and implementer of AI solutions — from design and prototyping to large-scale deployment across business functions.This is a senior, high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.What You'll DoCollaborate with executive leadership to identify high-impact AI opportunities that drive operational efficiency, innovation, and revenue growthBuild and lead a cross-functional AI Center of Excellence, bringing together data scientists, engineers, and domain experts to deliver enterprise-grade AI solutionsChampion the use of Generative AI, Machine Learning, NLP, and advanced analytics to enhance products, services, and internal processesOversee the development and governance of data infrastructure, ensuring data quality, accessibility, and compliance with privacy and security standardsEstablish and enforce AI ethics, risk management, and responsible AI practices within the organizationDevelop strategic partnerships with technology providers, academic institutions, and research organizations to accelerate AI innovationServe as a technical advisor to leadership, translating complex AI concepts into actionable insights and business valueStay ahead of emerging technologies and lead hands-on experimentation, prototyping, and technical evaluations of new AI tools and modelsEstablish robust MLOps practices and CI/CD pipelines to ensure reliable, scalable, and observable AI systems in productionLead enterprise-wide AI risk assessments, including model bias audits, explainability standards, and compliance reporting for regulators or clientsRequirements15+ years of experience in Digital Technology, with at least 4 years in AI/ML leadership roles across implementation, research, or product environmentsProven track record of end-to-end delivery of AI systems, from conceptualization to production — including model development, MLOps, and integrationDemonstrated experience translating AI strategy into business impact, with measurable ROI and operational outcomesDeep technical expertise in machine learning, deep learning frameworks (TensorFlow, PyTorch), large language models, and cloud AI platformsStrong background in data engineering, including data pipelines, architecture, and governance frameworksStrong software engineering background, capable of guiding teams through architectural decisions, code reviews, and deployment processesExcellent understanding of AI ethics, data privacy, and regulatory frameworks (GDPR, Responsible AI guidelines, etc.)Exceptional leadership and communication skills — able to engage with both technical teams and non-technical executivesEntrepreneurial mindset with the ability to innovate, experiment, and deliver in fast-moving environmentsExperience architecting and deploying Generative AI / LLM solutions (e.g., RAG systems, fine-tuned models, agentic workflows) at enterprise scaleHands-on experience with major cloud AI ecosystems (AWS Sage Maker, Azure AI, Google Vertex AI) and familiarity with multi-cloud or hybrid deployment strategiesTrack record of building and mentoring high-performing, cross-disciplinary AI teams in matrixed or fast-scaling organizationsFamiliarity with AI procurement and vendor evaluation — ability to assess build vs. buy decisions, negotiate with technology partners, and manage vendor SLAsComfort operating in ambiguity — proven ability to set structure, prioritize competing opportunities, and deliver results without a fully-defined playbook Show more Show less

BlackStone eIT is on the lookout for a skilled Contact Center Analytics & AI Lead to spearhead our analytics initiatives and artificial intelligence strategies within our contact center operations. In this impactful role, you will leverage data analytics and AI technologies to enhance customer experiences, optimize operations, and drive data-driven decision-making.As the Contact Center Analytics & AI Lead, you will be responsible for developing and implementing advanced analytical models, AI solutions, and performance metrics that provide insights into customer interactions, agent performance, and operational efficiency. Your expertise will be essential in creating a culture of innovation and continuous improvement in our contact center.Key Responsibilities:Design and implement analytics frameworks and AI solutions to improve customer experience and operational effectivenessAnalyze customer interaction data to identify trends, patterns, and areas for improvementDevelop predictive models to enhance agent performance and customer satisfactionLead initiatives to integrate AI technologies such as chatbots, natural language processing, and machine learning to optimize workflowsCollaborate with cross-functional teams to ensure alignment of analytics initiatives with business objectivesProvide insights and strategic recommendations based on data analysis to inform decision-making at all levelsMonitor and report on key performance indicators (KPIs) related to contact center effectivenessStay current with industry trends, tools, and methodologies in analytics and AI applicationsRequirementsBachelor's degree in Data Science, Business Analytics, Computer Science, or a related field; Master's degree preferred7+ years of experience in analytics within a contact center or customer service environmentProven experience with AI technologies and their applications in customer serviceStrong analytical skills with expertise in statistical analysis, data mining, and predictive modelingProficient in analytical tools and programming languages (e.g., Python, R, SQL, Tableau, or similar)Experience with machine learning algorithms and techniquesExcellent communication skills, able to present insights clearly to both technical and non-technical audiencesStrong project management skills and ability to lead cross-functional teamsKnowledge of customer experience metrics and industry best practicesPassion for utilizing data and technology to drive successful outcomes in customer serviceBenefitsRemote ModelTime Flexibility Relocation after 6months based on performance Show more Show less

Job Title: Director - Digital Transformation Services (DTS) SectorLocation: Cairo, Egypt (Onsite)Experience: 18+ yearsRole PurposeDirector of Digital Transformation Services (DTS) responsible for strategic growth, delivery and operational excellence of DTS sector. This role involves orchestrating holistic digital transformation for clients by integrating capabilities across DTS pillars Digital Experience, Digital Delivery, Digital Operations, and Data Analytics while effectively leveraging AI and data intelligence. The ideal candidate is required to translate business vision into market-leading services, building teams to deliver excellence and deliver measurable impact.Key ResponsibilitiesDelivery Excellence & Technical AssuranceProvide overall leadership and oversight of projects delivery to ensure timely, accurate, compliant, and high-quality outputs across all disciplines.Ensure projects are delivered in accordance with approved scope, schedule, budget, safety, and quality standards, fully meeting contractual obligations and client expectations. Establish, implement, and continuously enhance delivery frameworks, operating policies, and delivery playbooks across departments.Define and enforce technical assurance and quality control processes, including peer reviews, stage-gate approvals, independent checks, audits, and design/delivery assurance.Strengthen programme and portfolio governance, including schedule management, cost control, risk management, change management, and project controls for large and complex portfolios.Ensure timely and accurate submission of all technical deliverables, reports, designs, and contractual documents.Monitor delivery performance through defined KPIs, addressing performance gaps and delivery risks proactively.Institutionalize lessons learned, knowledge management, and technical communities of practice to drive continuous improvement and repeatable delivery excellence.AI Transformation & Digital Engineering ExcellenceDefine and drive the strategic roadmap for software engineering practices, embedding modern methodologies and AI-powered toolchains.Develop and implement policies mandating the use of latest AI tools, including agentic AI to enhance productivity, code quality and delivery speed.Drive continuous upskilling of engineering teams, fostering proficiency in leveraging AI tools for competitive advantage.Evaluate emerging AI engineering technologies, piloting and scaling those demonstrating tangible business value.Collaborate with the Centre of Excellence (CoE) to integrate AI research into mainstream software delivery practices.Service Diversification and Product Development (Aligned with Core Domain)Expand business offerings within core domain by developing new advisory and delivery services in response to market demand and client priorities.Establish and lead service development roadmaps, including scope definitions, delivery models, capability requirements, quality standards, and go-to-market readiness.Stakeholder Management and RepresentationAct as senior executive interface for key clients, building trusted and enduring relationships with executives and decision-maker levels. Represent Tatweer in executive steering committees, governance boards, and strategic forums, ensuring alignment with client objectives.Manage critical internal and external stakeholders, including government entities, semi-government clients, private sector partners, and delivery stakeholders.Ensure consistent, professional, and value-led representation across all client engagements and public-facing platforms.Lead resolution of high-impact client issues and escalations, safeguarding client satisfaction and long-term relationships.Establish structured client governance mechanisms (e.g., quarterly business reviews, executive reporting, escalation pathways, and action tracking) to improve transparency, responsiveness, and trust.Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.Leadership, Team Alignment, and Capability BuildingBuild, lead, and develop a high-performing leadership team, ensuring clear accountability and effective delegation across disciplines.Drive talent acquisition, workforce planning, capability development, and succession planning aligned with current and future business requirements.Foster a performance-driven culture emphasizes accountability, collaboration, coaching, and continuous professional development.Promote innovation, continuous improvement, and adoption of leading practices in core domain. Ensure leadership behaviors align with corporate values, ethical standards, and governance expectations.Strengthen alignment and collaboration across departments through shared goals, integrated planning cycles, and consistent performance expectations.Enhance team cohesion by establishing clear operating rhythms, effective cross-functional coordination, and a culture of ownership, mutual support, and constructive challenge.Strengthen coordination with corporate functions to ensure seamless execution and a unified service experience for clients.Financial Performance and Commercial GovernanceOwn and manage P&L, including revenue, gross margins, utilization, backlog, forecasting accuracy, and cost control.Monitor and improve financial performance, including working capital, invoicing, cash collection, and profitability across portfolio.Establish pricing strategies and commercial approval governance for bids, proposals, and major contracts.Oversee commercial risk management, contract compliance, change control, claims strategy, and dispute avoidance in collaboration with related Corporate functions.Ensure accurate and timely financial reporting, performance reviews, and executive dashboards.Strengthen commercial discipline across delivery teams to minimize leakage, improve variation capture, and enhance cash conversion.Business Growth Strategy Define and execute growth strategy, aligned with corporate objectives, target markets, and priority sectors.Lead market development and pipeline generation, identifying new opportunities, clients, and sectors across public, semi-government, and private markets.Oversee key account management, ensuring account growth, client retention, and long-term strategic positioning.Lead pursuit strategies for major tenders and complex opportunities, ensuring strong bid governance, compelling win themes, and high-quality, compliant submissions.Improve market visibility and win rates through disciplined participation in tenders, expressions of interest, and strategic proposals.Establish and manage strategic partnerships, joint ventures, subconsultant networks, and delivery ecosystems to expand capability, capacity, and market reach.Identify opportunities for service diversification, cross-selling, and geographic or sector expansion.Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.Qualifications & RequirementsMaster’s degree in information technology, Computer Science, AI, Machine Learning or related field.18+ years of progressive leadership experience in digital consulting, IT services, or technology-led business transformation, with at least 5 years in leadership role.Relevant professional certifications which include PMP, TOGAF, and Cloud Architect.Demonstrated ability to lead multi-disciplinary teams and complex stakeholder environments, including matrix delivery models. 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Head of AI Strategy & TransformationWe are partnering with a global strategy and analytics consulting firm that supports large organisations in solving complex business challenges through advanced data, technology, and analytical insight.As part of a major investment in artificial intelligence, the firm is looking to appoint a Head of AI Strategy & Transformation to lead the development and application of AI across its platforms, internal operations, and consulting delivery.Responsibilities• Define and lead the organisation’s AI strategy and roadmap• Identify high-impact AI use cases across consulting delivery, analytics platforms and internal workflows• Drive development of AI-enabled tools, automation and data-driven solutions• Work closely with data science, engineering and consulting teams to scale AI adoption• Establish best practices for responsible and effective AI deploymentRequirements• Experience leading AI or advanced analytics initiatives within consulting, strategy, or data-driven organisations• Strong understanding of applied AI, data science, or advanced analytics• Ability to translate technical capabilities into practical business outcomes• Experience working with cross-functional teams across strategy, product and engineeringThis is a senior leadership opportunity to shape AI strategy within a fast-growing consulting environment investing heavily in advanced analytics and intelligent systems. Show more Show less

Quale Infotech Inc is a leading tech company in the space of Artificial Intelligence, Machine Learning, Intelligent Automation, and Cloud. We are headquartered in the United States and present in 5 countries across 4 continents. We offer Gen-Next digital solutions for overcoming challenging business issues.We strongly believe in enabling our customers to the path of Digital Transformation through cutting-edge and innovative solutions. Quale is where your quest for success and excellence begins. Our team is passionate, fun-loving, and committed to success.Aiwozo is Quale Infotech's proprietary product that provides enterprise automation solutions to over 250+ enterprises. Aiwozo is rated as one of the top 5 Agentic Automation platforms globally as per analysts like G2 & Everest.As the Head of Digital Transformation, you will own and lead end-to-end digital transformation initiatives across the organization and Aiwozo client engagements in the Middle East region. You will be responsible for defining transformation vision, driving adoption of AI, automation, cloud, and data-led platforms, and ensuring measurable business outcomes.Key Responsibilities & Duties:Define and execute enterprise-wide digital transformation strategy aligned to business goalsLead large-scale initiatives across Agentic AI, intelligent automation, cloud, and analyticsPartner with CXOs and business leaders to identify high-impact transformation opportunitiesDrive adoption of digital platforms, agile delivery models, and modern operating frameworksOversee digital architecture, data strategy, security, and transformation governanceOwn transformation KPIs, ROI measurement, and value realization frameworksLead enterprise change management to ensure adoption and sustainable outcomesCollaborate with product, engineering, sales, and customer success teamsSkills and Qualifications:10+ years of experience in digital transformation, enterprise automation, or technology-led changeStrong expertise in digital strategy, enterprise architecture, and operating model transformationHands-on understanding of AI/ML use cases, automation platforms, Agentic AI, and cloud ecosystemsProven experience delivering large, multi-stakeholder transformation programsStrong CXO-level communication, stakeholder management, and advisory skillsDeep familiarity with Agile, DevOps, and product-led delivery approachesAbility to translate business objectives into scalable technology solutionsStrategic mindset with strong execution and leadership capabilities Show more Show less

About The RoleWe're looking for a Chief AI Architect to lead a project with an overall AI vision, strategy, and execution, ensuring alignment with business objectives and long-term growth goals.You'll act as the principal architect and implementer of AI solutions — from design and prototyping to large-scale deployment across business functions.This is a senior, high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.What You'll DoCollaborate with executive leadership to identify high-impact AI opportunities that drive operational efficiency, innovation, and revenue growthBuild and lead a cross-functional AI Center of Excellence, bringing together data scientists, engineers, and domain experts to deliver enterprise-grade AI solutionsChampion the use of Generative AI, Machine Learning, NLP, and advanced analytics to enhance products, services, and internal processesOversee the development and governance of data infrastructure, ensuring data quality, accessibility, and compliance with privacy and security standardsEstablish and enforce AI ethics, risk management, and responsible AI practices within the organizationDevelop strategic partnerships with technology providers, academic institutions, and research organizations to accelerate AI innovationServe as a technical advisor to leadership, translating complex AI concepts into actionable insights and business valueStay ahead of emerging technologies and lead hands-on experimentation, prototyping, and technical evaluations of new AI tools and modelsEstablish robust MLOps practices and CI/CD pipelines to ensure reliable, scalable, and observable AI systems in productionLead enterprise-wide AI risk assessments, including model bias audits, explainability standards, and compliance reporting for regulators or clientsRequirements15+ years of experience in Digital Technology, with at least 4 years in AI/ML leadership roles across implementation, research, or product environmentsProven track record of end-to-end delivery of AI systems, from conceptualization to production — including model development, MLOps, and integrationDemonstrated experience translating AI strategy into business impact, with measurable ROI and operational outcomesDeep technical expertise in machine learning, deep learning frameworks (TensorFlow, PyTorch), large language models, and cloud AI platformsStrong background in data engineering, including data pipelines, architecture, and governance frameworksStrong software engineering background, capable of guiding teams through architectural decisions, code reviews, and deployment processesExcellent understanding of AI ethics, data privacy, and regulatory frameworks (GDPR, Responsible AI guidelines, etc.)Exceptional leadership and communication skills — able to engage with both technical teams and non-technical executivesEntrepreneurial mindset with the ability to innovate, experiment, and deliver in fast-moving environmentsExperience architecting and deploying Generative AI / LLM solutions (e.g., RAG systems, fine-tuned models, agentic workflows) at enterprise scaleHands-on experience with major cloud AI ecosystems (AWS Sage Maker, Azure AI, Google Vertex AI) and familiarity with multi-cloud or hybrid deployment strategiesTrack record of building and mentoring high-performing, cross-disciplinary AI teams in matrixed or fast-scaling organizationsFamiliarity with AI procurement and vendor evaluation — ability to assess build vs. buy decisions, negotiate with technology partners, and manage vendor SLAsComfort operating in ambiguity — proven ability to set structure, prioritize competing opportunities, and deliver results without a fully-defined playbook Show more Show less

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.ResponsibilitiesOwn the AI engineering roadmap and lead the development of AI-first featuresProductionize ML models, ensuring scalability, performance, and observabilityDesign the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)Build systems that integrate AI into key parts of our stack, such as:Forecasting customer demand and renewable generationDynamic pricing and energy trading algorithmsIntelligent alerts and personalized customer featuresWork closely with product and engineering leadership to identify high-impact AI opportunitiesBuild and lead a high-performing team of AI engineersRequirementsStrong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teamsDeep experience deploying ML models into production environmentsProficiency in designing scalable data pipelines and real-time inference systemsUnderstanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)Strong cross-functional collaboration skills, particularly with data science and product teamsClear communication and an ability to prioritize for both experimentation and reliabilityBonusFamiliarity with optimization, time series modeling, or forecastingExperience with large language models (LLMs), RAG, or generative AI in productionBackground in MLOps or AI infrastructure at scaleBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less

We are seeking motivated and talented Emirati fresh graduates with a strong academic background and interest in Artificial Intelligence (AI). The role will provide exposure to AI technologies such as Machine Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. The selected candidates will be part of a dynamic team working on innovative projects to support digital transformation initiatives.Key ResponsibilitiesAssist in developing and implementing AI models and algorithms.Support in data collection, cleaning, and preprocessing for AI applications.Conduct research and benchmarking on AI tools and emerging technologies.Collaborate with senior data scientists/AI engineers on project requirements.Contribute to building prototypes, proof-of-concepts, and AI-driven solutions.Document findings, processes, and model performance for knowledge sharing.Participate in training sessions, workshops, and continuous learning activities.Qualifications & SkillsBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.Strong foundation in programming (Python, R, or Java).Basic knowledge of AI/ML concepts (Machine Learning, Deep Learning, NLP, or Gen AI).Familiarity with data analysis, statistics, and algorithms.Good understanding of databases and data structures.Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Willingness to learn and adapt to new AI tools and technologies.What We OfferTraining and mentorship from AI and data science experts.Hands-on exposure to AI projects and real-world applications.Career development opportunities in emerging technologies.A collaborative and innovative work environment. Show more Show less

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi. Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.If you possess the following, we would love to explore what is available for you with our team:Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fieldsDemonstrable experience coding in C++ or Python in a Linux environmentHave experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methodsHave innate curiosity for understanding why and how certain techniques workHave deep knowledge of time-series analysisAdvanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferredContribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML, etc.Have an interest and enthusiasm for learning about financial markets (previous experience not required) Show more Show less

JOB PURPOSE: The Data Analyst supports the AI and Digital teams by collecting, preparing, analysing, and interpreting data to drive intelligent automation, business insights, and data-driven decision-making. This role plays a critical part in transforming raw data into meaningful insights by building reliable data pipelines, ensuring high data quality, creating visual reports, and collaborating closely with AI engineers and business stakeholders. The Data Analyst helps improve model performance, operational efficiency, and strategic outcomes through accurate and actionable data analysis.KEY ACCOUNTABILITIES:Collect, clean, transform, and manage structured and unstructured data to support AI, analytics, and business intelligence initiatives.Develop and maintain data pipelines, warehouses, and models using SQL, Azure Data Lake, and Power BI to ensure accuracy, consistency, and scalability.Collaborate with cross-functional teams including IT, Finance, business to deliver high-quality analytical outputs.Collaborate closely with AI Engineers to prepare and validate datasets for machine learning (ML) and large language model (LLM) training, fine-tuning, and evaluation.Write and optimize complex SQL queries to extract, analyse, and validate large datasets from multiple enterprise systems.Build and maintain Power BI dashboards, interactive visualizations, and executive reports, enabling stakeholders to monitor KPIs and derive actionable insights.Define, measure, and track key performance indicators (KPIs) related to data quality, automation efficiency, and AI model performance.Conduct trend analyses and root cause investigations to identify patterns, business opportunities, and areas for performance improvement.Support data workflow automation using tools such as Power Automate, n8n, or Python scripts, improving data processing efficiency and reliability.Monitor and validate data quality, consistency, and completeness across operational and analytical systems.Prepare comprehensive documentation of data sources, transformations, and business definitions for transparency and governance.Ensure adherence to data governance, security, and privacy standards in line with organizational policies and UAE compliance regulations.Provide end-user support by responding to data-related queries and incidents through ticketing systems or email, ensuring resolution within SLA and customer satisfaction benchmarks.EXPERIENCE & QUALIFICATION Minimum Qualification: Bachelor’s degree in computer science/ engineering/ Information Systems, or related fieldMinimum Experience: 2+ years in similar roleSKILLS, KNOWLEDGE & ABILITIES:Strong hands-on expertise in SQL for complex querying, data extraction, aggregation, and performance optimization across large datasets.Proven experience with Power BI, including data modeling, DAX measures, calculated columns, and building high-performance, business-ready dashboards.Proficiency in SQL, Python, or R for data analysis and manipulation.Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools is a plus.Solid capability in data cleaning, transformation, and preparation to support analytics, reporting, and AI/ML use cases.Experience working with enterprise data sources such as ERP, WMS, Transport Management Systems, CRM, POS Applications, e-commerce, and operational systems.Good understanding of data warehousing concepts, including fact/dimension models, KPIs, and performance measurement.Familiarity with Azure data platforms (e.g., Azure Data Lake) and the broader Microsoft analytics ecosystem,Ability to translate business requirements into analytical solutions, delivering insights with minimal supervision.Strong analytical thinking to identify trends, anomalies, data gaps, and improvement opportunities, including support for AI model monitoring.Experience with data workflow automation and operational support, including handling user queries, incidents, and SLA-driven requests.Generic SkillsExcellent listening, communication, interpersonal and presentation skills Domain and Business knowledgeAbility to approach data and situations logicallyDrive to meet and exceed goals, and standards of excellence Ability to contribute both independently and as part of a team Show more Show less

Position SummaryThe AI Technical Associate will support the design, development, deployment, and maintenance of artificial intelligence systems and data-driven solutions. This role serves as a bridge between data science, engineering, and business operations, ensuring AI models and tools are implemented efficiently and aligned with organizational objectives.Key ResponsibilitiesAssist in the development, testing, and deployment of machine learning and AI models.Collect, preprocess, clean, and label data for model training and evaluation.Monitor AI system performance and conduct model validation and optimization.Support integration of AI solutions into existing business applications and workflows.Collaborate with data scientists, software engineers, and product teams on AI initiatives.Document technical processes, model behavior, and system configurations.Conduct exploratory data analysis and generate insights for stakeholders.Assist in troubleshooting AI model issues and improving system reliability.Stay current with emerging AI technologies, tools, and best practices.Required QualificationsBachelor’s degree in Computer Science, Engineering, Data Science, AI, or related field.Strong understanding of machine learning fundamentals and AI concepts.Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.Experience working with data preprocessing, feature engineering, and model evaluation.Knowledge of SQL and basic database concepts.Familiarity with cloud platforms (AWS, Azure, GCP) is preferred.Strong analytical thinking and problem-solving skills.Excellent written and verbal communication abilities.Preferred QualificationsExperience with NLP, computer vision, or deep learning projects.Familiarity with MLOps practices and tools.Exposure to big data technologies such as Hadoop or Spark.Understanding of software development lifecycle and version control systems (e.g., Git).Key CompetenciesAnalytical and technical aptitudeAttention to detailCollaborative mindsetContinuous learning orientationStrong organizational and documentation skillsCareer Growth OpportunitiesThis role offers exposure to advanced AI projects and provides a clear pathway to roles such as AI Engineer, Data Scientist, Machine Learning Engineer, or AI Solutions Architect. Show more Show less

Capgemini Invent At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your RoleAs part of Capgemini Invent's Intelligent Industry team in the Middle East, you will work on high-impact transformation programs for leading industrial clients across manufacturing, energy, logistics, and process industries, across specific profilesYour role will vary based on your experience level, but will generally include:Leading or contributing to end-to-end consulting engagements - from diagnostic and strategy to implementation.Designing and delivering solutions in one or more of the following areas:Supply Chain: e.g., visibility, planning, optimization, S&OPSmart Plant: e.g., Industry 4.0, IoT, MES, digital twinsInsights for Intelligent Industry: e.g., AI/ML use cases, predictive models, operational intelligenceCollaborating with multidisciplinary teams including data engineers, architects, and domain expertsManaging client relationships, facilitating workshops, and presenting recommendations to C-level stakeholdersDeveloping business cases, roadmaps, and implementation Executing workstreams, conduct analyses, and support deliveryThis is an opportunity to work in one of the world's most dynamic regions, on projects that matter with clients who are serious about transformation.Your Skills and Experience The skills, level of expertise, and years of experience required will vary depending on the seniority of the role you're applying for.Must-have: 2+ years of experience in business intelligence, analytics consulting, or data-driven transformation in industrial settingsStrong ability to translate business problems into analytical frameworks and actionable insightsExperience designing and implementing data strategies, analytics roadmaps, or reporting solutions for operations/manufacturingProficiency in data analysis tools (Excel, SQL, Power BI, Tableau) and working with large datasetsUnderstanding of industrial processes and KPIs (OEE, MTBF, yield, quality metrics, supply chain performance, etc.)Proven track record of delivering business cases, executive dashboards, and data-driven recommendationsExcellent communication skills in English (verbal and written), ability to present to senior stakeholdersNice-to-have: Experience with advanced analytics concepts (predictive analytics, prescriptive analytics) without necessarily coding models yourselfFamiliarity with data governance, data cataloging, or ontology frameworksKnowledge of cloud analytics platforms (Azure, AWS, Snowflake, Databricks)Understanding of AI/ML use cases in industrial contexts (predictive maintenance, quality prediction, process optimization)Familiarity with the Middle East or industrial markets (manufacturing, energy, FMCG, retail)Knowledge of Arabic Why you should consider CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.#MakeitReal www.capgemini.com/invent Show more Show less

JOB PURPOSE: The AI Engineer is responsible for designing, developing, and deploying intelligent AI systems and workflow automation solutions that support enterprise digital transformation objectives. The role focuses on building and integrating AI agents using large language models (LLMs), automation platforms, and cloud-native tools to create scalable and intelligent digital processes across the organization.KEY ACCOUNTABILITIES:Lead the end-to-end development of AI-driven agents using frameworks such as LangChain , CrewAI and RAG, spanning solution design, model integration, production deployment, and ongoing optimization to drive better decision-making, efficiency, and measurable business impact.Integrate AI services with business systems and enterprise applications via REST APIs and HTTP protocols.Develop and maintain automation workflows using low-code/no-code platforms such as n8n, Automation Anywhere, Microsoft Power Automate, and Replit to streamline processes and improve operational efficiency.Deploy and manage containerized AI environments using Docker for scalability and reliability.Collaborate with Core ERP teams to connect AI models with enterprise data lakes and analytics tools (Azure Data Lake, Power BI).Research, evaluate, and implement advanced AI models (GPT, Gemini, Claude) to extend organizational capabilities.Maintain technical documentation, version control (GitHub), and ensure compliance with deployment standards.Support testing, monitoring, and continuous improvement of AI solutions using automation testing tools.Monitoring and Auditing: Tracking the performance of the bots, devices, and the bot development status for the new automation projects. Reporting: Providing timely report insights and inferences to management, to facilitate real time decisions and scalability. End User Support: Responding to queries raised by user and providing resolution via Tickets or email within the SLA and to the satisfaction of the customer. EXPERIENCE & QUALIFICATION:Minimum Qualification: Bachelor’s degree in computer science/ engineering/ Information Systems, or related fieldMinimum Experience: 2+ years in similar roleSKILLS, KNOWLEDGE & ABILITIES:Proficiency in Python and Rust programming languages.Strong understanding of LangChain, RAG, Vector Databases, and LLM engineering.Experience with Machine Learning and Prompt Engineering.Working knowledge of Microsoft Azure AI Foundry, Azure AI Services, and Data Lake architecture.Familiarity with GitHub Copilot, Replit, and low-code/no-code automation tools.Competence in API integration, HTTP, and modern cloud deployment models (Azure, AWS, GCP).Awareness of Computer Vision technologies and Automation Tools.Knowledge in Business Intelligence, visualizing and dashboarding tools (e.g. Power BI)Conceptualizing data flows and drafting workflowsUnderstanding different data sources and transaction applicationsExperience in SQL and extracting data for analysisExtensive knowledge on documentation and reportingGeneric SkillsExcellent listening, communication, interpersonal and presentation skills Domain and Business knowledgeAbility to approach data and situations logicallyDrive to meet and exceed goals, and standards of excellence Ability to contribute both independently and as part of a team Show more Show less

Position: AI Red-Teamer — Adversarial AI Testing (Advanced); English & ArabicType: Hourly contractCompensation: $32.25/hourLocation: RemoteCommitment: 10–40 hours/weekRole ResponsibilitiesRed team conversational AI models and agents (jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation).Generate high-quality red team data by annotating failures, classifying vulnerabilities, and flagging systemic risks.Apply structured taxonomies, benchmarks, and playbooks for consistent evaluation.Produce reproducible documentation including reports, datasets, and attack cases.Identify vulnerabilities missed by automated testing.RequirementsFluent in English and Arabic (required).Prior experience in red teaming, adversarial AI, cybersecurity, or socio-technical risk analysis.Strong adversarial and analytical mindset with structured testing approaches.Ability to clearly communicate risks to technical and non-technical stakeholders.Comfortable reviewing sensitive AI-generated content (with guidelines and wellness support provided).Preferred ExperienceAdversarial ML (jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction).Cybersecurity (penetration testing, exploit development, reverse engineering).Socio-technical risk analysis (harassment, misinformation, abuse probing).Creative adversarial thinking (psychology, writing, acting, scenario design).Application Process (Takes 20 Min)Upload resumeInterview (15 min)Submit form Show more Show less

General DescriptionJoin a fast-growing, technology-driven organization delivering advanced digital platforms and AI-enabled solutions at scale. We are looking for a Senior QA Engineer with strong automation expertise and exposure to AI/ML systems to help ensure high quality, reliability, and performance across modern enterprise applications.This role is ideal for a hands-on, senior-level QA engineer who can independently design and implement automation frameworks, validate complex system behaviors, and support quality assurance for AI-driven features and intelligent platforms.You will work closely with engineering, product, and platform teams to build scalable automation strategies and ensure high-confidence releases across APIs, applications, and AI-powered components.This is a freelance / contract, hybrid role with an urgent hiring timeline, supporting engineering teams building high-impact digital and AI-enabled solutions.Key ResponsibilitiesDesign, develop, and maintain scalable test automation frameworks for UI, API, and end-to-end testing.Implement automated regression suites integrated with CI/CD pipelines to ensure fast and reliable releases.Validate complex workflows, distributed systems, and microservices-based architectures.Collaborate with developers and product teams to define test strategies, acceptance criteria, and quality standards early in the development lifecycle.Identify test coverage gaps and improve automation coverage across critical system components.Support testing of AI/ML-powered features, including validation of model outputs, response accuracy, and system behavior.Develop strategies for test data management, environment stability, and automated test execution.Perform root cause analysis of defects and work closely with engineering teams to improve system reliability.Contribute to quality metrics, reporting, and release readiness.Drive automation-first testing practices and mentor team members where needed.Required Skills & ExperienceAt least 7–10+ years of experience in software quality assurance, with strong focus on test automation.Proven experience designing and implementing automation frameworks from scratch.Strong hands-on experience with automation tools such as:Selenium / Cypress / PlaywrightREST API automation tools (Postman, RestAssured, or similar)Strong programming or scripting experience in Python, Java, or JavaScript.Experience testing API-driven architectures and microservices environments.Solid understanding of CI/CD pipelines and automated testing integration.Experience validating complex test scenarios and enterprise-scale systems.Exposure to AI/ML systems or AI-enabled applications, including testing model outputs, prompts, or intelligent system behaviors.Strong debugging, analytical thinking, and problem-solving skills.Ability to work independently in a contract environment with minimal supervision.Excellent communication and collaboration skills across technical teams.Preferred / Nice to HaveExperience testing AI-powered applications, LLM-based systems, or data-driven platforms.Familiarity with performance testing tools (JMeter, k6, or similar).Experience working in cloud environments (AWS, Azure, or GCP).Background in DevOps practices and containerized environments (Docker/Kubernetes).Experience working in enterprise or high-scale distributed systems. Show more Show less

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.We are looking for a Lead AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil & gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.Job OverviewYou will be part of a Project Delivery team to:Conduct Site survey of the customer requirements and developDesign and develop AI models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization.Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.Use AI to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.Key ResponsibilitiesAI/ML Strategy & Solution DesignDefine the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.Technical Leadership & MentorshipLead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.Advocate best practices in model development, version control, MLOps, and engineering excellence.Data Pipeline & Model Lifecycle ManagementOversee data gathering, cleaning, and preprocessing from diverse sources (e.g., sensors, IoT devices, DCS, SCADA systems).Implement robust CI/CD pipelines to streamline model development, testing, deployment, and updates.Optimization & Real-time AnalyticsDevelop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.Perform model performance tuning to ensure reliability and scalability under production environments.Stakeholder Collaboration & CommunicationPartner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.Compliance & Risk ManagementEnsure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.Proactively address potential risks related to data privacy, model bias, and operational safety.RequirementsBachelor’s/master’s in computer science, AI, Machine Learning, or related field.8+ years of hands-on experience in AI/ML, with at least 3 years in a senior or lead role.Proven project delivery experience in industrial or energy sectors, with a preference for oil & gas.Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and Keras.Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.Experience with SCADA, DCS, PLCs, smart sensors, IoT platforms, and Historians.Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)Programming & FrameworksLanguages: Proficiency in Python is essential; exposure to C++/Java or other languages is a plus.ML Libraries: Expert-level knowledge of TensorFlow, PyTorch, Scikit-learn; familiarity with Keras, XGBoost.MLOps & DevOpsExperience with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and version control (Git).Exposure to logging, monitoring, and performance tuning tools to maintain high availability and performance of AI/ML solutions.Cloud & Big DataHands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.Data Engineering & IntegrationUnderstanding of data ingestion workflows, ETL/ELT processes, and streaming data (Kafka, MQTT etc.).Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)Consistently demonstrates exceptional technical skills, competence, and productivity.Deeply passionate about transforming emerging technologies into practical, industrial solutions.Possesses excellent communication and interpersonal abilities.A fast learner with a strong aptitude for collaboration and teamwork.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process! Show more Show less

Job Title: Customer Experience Cloud & AI SMELocation: Remote / UAE / PortugalCompany: KompetenzaDepartment: AI & Service Cloud DevelopmentReports To: director R&DAbout KompetenzaKompetenza is a Salesforce partner with a Center of Excellence in Portugal. We specialize in Salesforce FlexTeam solutions, Corporate Services Cloud, and Employer of Record (EOR) services. Our mission is to help organizations transform customer experiences through intelligent self-service portals, AI automation, and digital engagement.Role OverviewWe are looking for a Customer Experience Cloud & AI SME to lead the design, development, and optimization of self-service customer portals while integrating AI-driven automation across both Salesforce and external ecosystems.This role requires expertise in Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience, and mentor organizations on AI adoption.Key Responsibilities Develop & Optimize Self-Service Customer Portals Design, configure, and enhance customer self-service portals using Salesforce Experience CloudImplement self-service automation and AI-driven workflows to improve customer interactionsEnsure portals are intuitive, scalable, and personalized with guided service journeysIntegrate Einstein AI and automation tools for proactive customer support and case resolution AI-Powered Virtual Agents & AutomationDevelop and optimize AI-driven virtual agents within Salesforce and external platformsUtilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer supportImplement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platformsEnsure AI agents learn from interactions to continuously improve customer responses Cross-Platform AI Automation & IntegrationWork with Salesforce Flow, Omni-Channel Routing, and Process Automation to optimize service operationsIntegrate self-service portals with third-party AI tools, RPA solutions, and external APIsImplement AI-powered predictive analytics to personalize customer experiences Customer Engagement & AI MentorshipAct as an AI & Experience Cloud SME, guiding clients through their AI and automation journey Work directly with customers to understand their challenges and tailor AI/self-service solutionsProvide training and mentorship to businesses on how to adopt and maximize AI-driven self-service portalsGather feedback from end-users to enhance AI models, workflows, and self-service functionalities Data Intelligence & AI Performance OptimizationUse Salesforce Data Cloud and AI analytics to drive data-backed automation improvementsContinuously monitor AI agent performance and customer engagement metrics to optimize processesEnsure compliance with data security, privacy, and ethical AI practices AI & Innovation StrategyStay ahead of emerging AI and Experience Cloud trends, ensuring cutting-edge solutionsWork with internal teams to align AI automation with business and customer service objectivesEvaluate and integrate new AI and automation tools to enhance customer experienceKey RequirementsTechnical Skills 2+ years of experience in Salesforce Experience Cloud & Service Cloud (or equivalent self-service portal expertise)Hands-on knowledge of Einstein AI, NLP, chatbot development, and automation workflowsExperience with Salesforce Flow, Omni-Channel Routing, and case automationFamiliarity with third-party AI, automation, and chatbot platforms outside SalesforceKnowledge of API integrations, RPA, and machine learning-driven automationSoft Skills & Experience Passionate about customer experience, AI, and digital transformation Comfortable working directly with clients, understanding their self-service & AI needs Strong problem-solving and analytical skills to build impactful automation solutions Excellent communication & presentation skills, able to mentor and train customers Ability to learn quickly and stay updated on the latest AI and self-service technologiesWhy Join Kompetenza R&D Work on cutting-edge AI & self-service portalBenefitsWhy Join Kompetenza?✅ Build a lead generation machine from the ground up - an exciting opportunity to create a scalable system.✅ Work with cutting-edge AI and automation tools to optimize sales outreach.✅ High earning potential - competitive salary with performance-based commission.✅ Remote work flexibility with a global team. Show more Show less

Role OverviewDigiBank & FinTech (D&F) is building a multi-country digital banking and fintech platform across African markets. Bridging telecom, mobile money, and banking services to accelerate inclusion and scale sustainable growth. In this environment, data is a strategic asset and an operational dependency: it powers customer, product and market insights, portfolio and risk decisioning, performance management, product optimisation, and regulatory-grade reporting.The Head of Data is accountable for D&F’s end-to-end data strategy and execution across three core verticals:Data Engineering: Platform, pipelines, quality, governance, access.Data Science: Dedicated services for analytics and decisioning support for D&F core services.BI & Reporting: Single source of truth, dashboards, performance cadence, self-service analytics.This is a centralised group function that maintains dedicated D&F data infrastructure, builds a durable analytical capability, and ensures consistent reporting and metrics across products, markets, and functions.Purpose of the RoleThe Head of Data needs to establish and run a trusted, secure, scalable, and business-enabling data ecosystem for D&F. Turning multi-market operational data into decision advantage. The Head of Data ensures that executives and teams can move faster with confidence: reliable data foundations, actionable insights, and measurable impact, delivered with disciplined governance and compliance.Key OutcomesA resilient data platform that supports reporting and decisioning workloads with high availability, clear ownership, and strong cost discipline.“Single source of truth” metrics and dashboards that underpin daily/weekly/monthly operating cadences, executive reporting, and market performance management.A high-performing data science and analytics capability delivering measurable uplift in growth, retention, product oversight and performance outcomes, risk detection, and operational efficiency. Strong data governance: privacy, access control, lineage, auditability, data quality, and cross-market consistency, aligned to regulatory expectations.A culture of accountability where teams rely on shared definitions, controlled experimentation, and transparent measurement.Core ResponsibilitiesA) Data strategy, operating model, and governance (cross-vertical)Define and execute the D&F data strategy aligned to the cluster’s business objectives, multi-market operating model, and product roadmap.Establish a clear data operating model: roles, responsibilities, prioritisation, delivery cadence, and service catalogue (platform services, analytics services, reporting services).Own enterprise-grade data governance for D&F, including:Data classification, access management, encryption standards, audit trails, retention policies, and secure sharing.Metric governance and a controlled KPI framework (definitions, owners, changes, approvals).Data quality management (tests, monitors, SLAs, incident response).Partner with Risk, Compliance, Legal, Security, and Technology to ensure regulatory-grade data controls and a defensible audit posture across jurisdictions.B) Vertical 1: Data Engineering (platform, pipelines, reliability)Own the design and evolution of the D&F data architecture (data lake and warehouse patterns as appropriate), ensuring scalability across countries, products, and data domains.Lead the build and operation of ETL/ELT pipelines (batch and event-driven where relevant), supporting:Executive and operational reportingProduct analytics and experimentationPortfolio, risk, and fraud analyticsModel training and model monitoring data feedsImplement best practices in observability and reliability: logging, lineage, versioning, replay capability, incident triage, and post-mortems.Ensure strong data security and access control across markets and teams, with appropriate anonymisation/pseudonymisation where required.Drive platform automation and infrastructure reproducibility via IaC and disciplined environment management, balancing cost, performance, and governance.C) Vertical 2: Data Science (advanced analytics, ML enablement, responsible AI)Build and lead a data science capability that delivers measurable business impact, including (as applicable):Propensity and lifecycle models (activation, retention, cross-sell)Credit analytics (risk segmentation, affordability proxies, early warning indicators)Fraud and anomaly detectionPricing/offer optimisation and experimentation frameworksPromote ethical and responsible analytics: interpretability, bias testing, drift detection, and appropriate governance, especially for automated decisions impacting customers.Translate complex insights into executive-ready decisions through clear framing, quantified impact, and operational handover plans.D) Vertical 3: BI & Reporting (dashboards, performance cadence, single truth)Own the D&F reporting strategy and execution, ensuring consistent, trusted, and timely insights across:Product performanceGrowth funnels and marketing effectivenessFinancial performance and unit economicsOperational SLAs and support metricsPortfolio/credit/fraud performance (in partnership with Risk/Portfolio/Product functions)Build a scalable self-service BI layer with strong semantic models, controlled definitions, and role-based access. Reducing dependency and accelerating decision-making.Run a disciplined executive reporting cadence (weekly ops, monthly performance, quarterly planning support), including insight narratives and “so-what” recommendations.E) Stakeholder leadership and delivery managementAct as the single accountable leader for D&F’s data roadmap and prioritisation, balancing multi-market needs and platform sustainability. Partner closely with Product, Growth, Marketing, Finance, Compliance, DigiBank, and Markets to convert business problems into data initiatives with clear delivery milestones and impact metrics.Establish cross-functional ways of working: intake process, quarterly planning, sprint/kanban execution where appropriate, and transparent reporting of progress and outcomes.F) Team leadership and capability buildingBuild and lead a high-performing team across:Data engineeringAnalytics/BIData science/advanced analyticsSet clear role expectations, coaching, technical standards, and performance management; develop a pipeline of talent across markets.Create a culture of craft, accountability, and continuous improvement (automation, reuse, quality-by-design).Required Skills & Experience10+ years in data leadership roles spanning data engineering + analytics/BI, with demonstrated delivery at scale (preferably multi-market or multi-business-unit).Proven track record building trusted data foundations (architecture, pipelines, governance, security, quality) and delivering measurable business outcomes.Strong understanding of analytics and ML delivery in production environments, including monitoring and lifecycle management (in partnership with engineering).Executive-level stakeholder management: ability to influence roadmaps, drive prioritisation, and communicate trade-offs clearly.Strong command of data governance, privacy, and audit requirements in regulated environments.Experience in fintech, mobile money, lending, telecom data, or financial services ecosystems in Africa.English required; French advantageous (multi-market stakeholder engagement). 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Müller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.Key Responsibilities:Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoMLCollaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirementsConduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrityImplement and optimize AI workflows that facilitate real-time data processing and inferenceStay updated on the latest advancements in AI and machine learning technologies to continuously improve our offeringsProvide technical guidance and support to teams on best practices for using Google Cloud AI servicesDocument AI project implementations, model performance evaluations, and ongoing maintenance proceduresContribute to developing educational materials and training sessions on AI capabilities for staff and stakeholdersMonitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectivenessRequirementsRequirements:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud PlatformProficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoMLStrong knowledge of data preprocessing, feature engineering, and model evaluation techniquesAbility to work with large datasets, utilizing BigQuery or similar data processing toolsExcellent problem-solving skills and a strong analytical mindsetCapable of communicating complex technical concepts to diverse audiences effectivelyPreferred Qualifications:Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plusExperience with MLOps practices and tools for model deployment and managementFamiliarity with DevOps practices as they relate to AI and machine learningA background in statistics or applied mathematics is desirableBenefits1- Attractive Package.2- Family Benefits.3- Visa.4-Air Tickets. Show more Show less

Role SummaryStellar Technologies is seeking a Machine Learning Engineer (GenAI) to design, build, and deploy next-generation AI systems combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.In this role, you will bridge model development and production engineering — developing scalable AI pipelines, integrating real-time APIs, and ensuring high-performance AI services that power enterprise-grade solutions. You will work at the intersection of machine learning, cloud infrastructure, and applied research, collaborating with top engineers and data scientists to deliver intelligent, production-ready AI capabilities.Key ResponsibilitiesDevelop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).Build and deploy production-grade ML pipelines with real-time inference and retrieval components.Design and manage APIs and streaming services to integrate AI models into enterprise platforms.Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.Automate data preprocessing, model training, evaluation, and versioning pipelines.Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.Ensure governance, compliance, and security of deployed AI workloads.Conduct performance benchmarking and optimize inference latency and cost.Monitor AI systems in production using observability frameworks (logging, metrics, tracing).Participate in architecture discussions to enhance scalability and reliability of AI services.Required Skills & ExperienceStrong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.Solid experience in API and microservices engineering (FastAPI, Flask).Familiarity with streaming architectures and real-time data handling.Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.Experience with containerization and orchestration (Docker, Kubernetes).Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.Experience in CI/CD, model deployment, and production monitoring.Preferred SkillsExposure to GPU-based inference optimization and serverless deployment.Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).Experience in model fine-tuning, prompt engineering, or agentic orchestration.Understanding of AI governance, ethical AI, and data privacy frameworks.Soft SkillsStrong analytical and problem-solving mindset.Excellent collaboration and communication skills.Passion for innovation, experimentation, and applied AI.Job Category: Software EngineerJob Type: Full TimeJob Location: Abu Dhabi Show more Show less

DeepLight AI is a specialist AI and data consultancy renowned for implementing high-impact intelligent enterprise systems, particularly within Financial Services and Banking. We are seeking an exceptional Senior Scrum Master / AI Project Lead to drive the successful delivery of our most complex AI and data science solutions for our global client base.This pivotal role requires a seasoned leader who can seamlessly blend strong technical understanding of the AI/ML lifecycle with exceptional project management and business acumen. Your success is key to DeepLight's growth.The Scrum Master drives delivery success by overseeing complex AI and data science projects from inception through deployment. You will lead cross-functional teams (Data Scientists, ML Engineers, and business stakeholders) to ensure high-impact AI solutions are delivered within scope, budget, and timeline, specifically navigating the unique challenges of AI implementation.Responsibilities in this role include:Project Leadership: Lead and manage multiple concurrent Data, AI, and Mobile Internet Banking projects across the entire lifecycleMethodology Expert: Establish and implement flexible project management methodologies, effectively combining Agile (Scrum) principles with traditional planning to suit complex AI development needsRisk & Governance: Proactively identify and mitigate project risks unique to AI (data quality, model performance, ethical considerations, and regulatory compliance)Stakeholder Alignment: Facilitate communication between technical teams and senior business stakeholders, clearly communicating delivery updates and guiding expectations regarding AI capabilities and limitationsFinancial Control: Manage large project budgets and resource allocation across teams. Process Excellence: Lead all Scrum ceremonies (planning, retrospectives), maintain comprehensive documentation, and monitor project KPIs for executive-level reportingRequirementsWe are looking for a certified leader with a proven track record of delivery in the data and AI space.Essential Capabilities:Experience within the banking/financial services industrySignificant demonstrable experience (7+ years) managing complex technology projects, with demonstrable success in delivering enterprise-scale machine learning or data science projectsStrong functional understanding of the complete AI/ML development lifecycle, from data preparation and model development to deployment and MLOpsProven experience with both Agile (Scrum Master proficiency) and traditional project management methodologiesDemonstrated experience managing budgets exceeding $1M and leading large, cross-functional, and often geographically distributed teamsSolid understanding of data privacy, security requirements, and experience with AI governance frameworks and responsible AI best practicesOutstanding leadership, communication, and problem-solving skills with a proven ability to manage complex stakeholder expectationsExcellent knowledge of project management tools (e.g., Jira, Microsoft Project, Azure DevOps)Desirable Attributes:Professional certifications such as PMP, PRINCE2, or Agile certifications (CSM/PSM)Master's degree in a relevant technical or business fieldExperience coaching and mentoring junior team membersBenefitsBenefits & Growth Opportunities: Competitive salary and performance bonuses Comprehensive health insurance Professional development and certification support Opportunity to work on cutting-edge AI projects International exposure and travel opportunities Flexible working arrangements Career advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. Show more Show less

As the Data Scientist within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement.Accountabilities Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timelinespecifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.SkillsBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage. Show more Show less

Engagement Type: Independent ContractorWork Mode: Fully RemoteHours: 30-40 hours/week or Full-Time (Flexible)About The RoleWe are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile.In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.Key Responsibilities Analyze large, complex datasets to uncover patterns and generate actionable insights Build predictive models and ML pipelines across:Tabular data Time-series data NLP Multimodal datasets Design and implement validation strategies, experimental frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations Translate analytical results into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale Present findings via dashboards, structured reports, and documentation Required QualificationsKaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) 3-5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) Excellent communication skills and ability to present analytical insights clearly Nice to HaveContributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) Experience in AI labs, fintech, product analytics, or ML-driven organizations Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with Bayesian methods or probabilistic programming frameworks Why JoinWork on cutting-edge AI research workflows Collaborate with world-class data scientists and ML engineers Solve high-impact, real-world data science challenges Experiment with advanced modeling strategies and competition-grade validation techniques Flexible engagement options ideal for Kaggle-level problem solvers Show more Show less

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflowsCollaborate with backend engineers and data scientists to integrate AI-driven features into our platformsCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricingImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecastsStay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy spaceMonitor the performance of AI tools and models, ensuring they are functioning efficiently and effectivelyRequirementsMinimum 3 years of engineering experienceProven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation and building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest in energy markets and trading strategiesUnderstanding of weather forecasting, energy demand patterns, and production modellingExposure to Natural Language Processing (NLP) or other related fieldsBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.This role is part of TII’s Robotics Research Center.Position Overview We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a strong foundation in both research and engineering, with hands-on experience developing, fine-tuning, and deploying advanced AI systems. You will contribute to building scalable, production-ready AI applications, integrating multimodal reasoning, and pushing the boundaries of autonomous intelligent agents.Key Responsibilities LLM/VLM Development & Integration: Design, train, fine-tune, and optimize LLMs and VLMs for real-world Agentic AI Systems: Develop and orchestrate autonomous agent frameworks capable of multi-step reasoning, planning, and tool use. Engineering & Deployment: Build scalable, low-latency inference systems for large models using frameworks like DeepSpeed, vLLM, TensorRT, or ONNX Runtime. Implement distributed training, model parallelism, and efficient inference pipelines; also optimize deployment for edge devices, GPUs, and cloud-based platforms. Research & Innovation: Stay up to date with the latest advancements in LLMs, multimodal models, and autonomous agents. Core Competencies AI/ML Expertise o Strong understanding of LLMs, VLMs, transformers, and multimodal architectures. o Experience with fine-tuning, LoRA/QLoRA, quantization, distillation, and evaluation. o Knoledge of neurosymbolic methodologi o Knowledge of reinforcement learning (RLHF, RLAIF) and alignment techniques. Agentic Frameworks o Experience with frameworks such as LangChain, LlamaIndex, AutoGPT, CrewAI, OpenAI Agents, Hugging Face Transformers/Agents. o Ability to design reasoning loops, memory systems, and multi-agent coordination. Development Tools & Libraries o Core AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenAI APIs, DeepSpeed, vLLM. o Supporting tools: Weaviate, Pinecone, FAISS, Milvus (vector databases), Redis, Kafka. o Evaluation/monitoring: Weights & Biases, MLflow, TensorBoard, Evals frameworks. Programming Skills o Python – for AI research, prototyping, and deployment pipelines. o C++ – for performance-critical components, model inference optimization, and system integration. Systems & Infrastructure o Proficiency with Docker, and AI distributed training systems. o Strong knowledge of CUDA, GPU optimization, and high-performance computing. o Familiarity with cloud platforms (AWS, GCP, Azure) and edge deployment strategies. Qualifications Master’s, or PhD in Computer Science, AI/ML, Robotics, or related field. Proven track record of hands-on work with LLMs, VLMs, or agentic frameworks. Experience in productionizing AI systems at scale. Excellent communication and collaboration skills.Preferred (Nice-to-Have) Experience with reinforcement learning Background in robotics, simulation environments, or embodied AI. Publications in AI conferenceAt TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading internationalinstitutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in AI, advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems. Show more Show less

Senior Computer Vision Engineer (VLM)Location: Dubai, UAE 🇦🇪 Salary: 10,000 – 15,000 AED🚀 Hiring: Senior Computer Vision Engineer (VLM Specialist) at Infolabs GlobalWe are pushing the boundaries of Multimodal AI. We’re looking for a Vision-Language Model (VLM) expert to join our Dubai team to build systems that don't just see, but understand.What You’ll Do:Develop and fine-tune Vision-Language Models (CLIP, LLaVA, Qwen-VL).Architect end-to-end CV pipelines for real-time inference.Optimize large models for deployment on edge and cloud infrastructure.Requirements:4+ years of experience in Computer Vision.Deep expertise in PyTorch/TensorFlow and OpenCV.Proven track record with Multimodal Learning and Transformers.📩 How to Apply: Send your CV and Portfolio to sidharthan@infolabsglobal.ai with the subject "CV Engineer - Dubai".#ComputerVision #VLM #AIJobs #DubaiTech #DeepLearning #InfolabsGlobal #Hiring Show more Show less

FlatGigs is hiring on behalf of a confidential enterprise banking client undergoing a large-scale Trade Transformation initiative powered by Generative AI.We are looking for high-impact engineers who can design and deploy enterprise-grade Agentic AI systems integrating LLMs with secure structured private data environments.This is not a research role. This is production engineering inside regulated enterprise systems.Immediate joiners are strongly preferred.Role OverviewThe AI Engineer will design, build, and deploy advanced multi-agent AI systems embedded within enterprise trade platforms.The role requires strong full-stack engineering capability combined with deep expertise in: Agentic AI architectures LLM orchestration Secure enterprise integrations Prompt engineering Vector search systems Key ResponsibilitiesAgentic AI & LLM Architecture Design and implement end-to-end multi-agent workflows Connect LLMs with structured private enterprise data Build modular AI agents with reasoning and tool orchestration Ensure explainability and traceability in regulated environments Prompt Engineering & Reliability Design and optimise advanced prompt frameworks Build guardrails and fallback logic for enterprise stability Implement evaluation frameworks to measure hallucination and output consistency Full Stack Engineering (Node.js / React) Develop scalable backend services using Node.js (Express / NestJS) Build secure frontend applications using React + TypeScript Develop RESTful APIs exposing AI workflows Embed AI modules into enterprise trade systems Secure Enterprise Integration Integrate GenAI services using secure API frameworks Implement role-based access control Ensure compliance and sensitive data handling standards AI Tooling & Frameworks Build using LangChain / LangGraph for multi-agent orchestration Implement memory layers and workflow graphs Work with vector databases (Redis preferred) Design and optimise RAG (Retrieval-Augmented Generation) pipelines RequirementsRequired Qualifications 5+ years of full-stack software engineering experience Strong hands-on experience with Node.js and React Proven experience building LLM-powered production systems Experience designing multi-agent AI workflows Strong understanding of vector databases (Redis preferred) Experience building secure AI systems in regulated domains Preferred Experience Trade Finance / Treasury / Capital Markets exposure Model evaluation frameworks or LLMOps exposure Containerisation (Docker / Kubernetes) CI/CD pipeline integration AI governance and data compliance understanding Ideal Candidate Profile Builder mindset Enterprise-grade engineering discipline Comfortable working in high-security environments Able to ship production AI, not just prototypes Show more Show less

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.The ML Ops and DevOps Lead is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank's AI-driven applications—including Generative AI and LLM agents—are secure, efficient, compliant, and highly available.Your responsibilities as the MLOps and DevOps Lead include:Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via TerraformCreate and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub ActionsDeploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML EndpointsImplement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearchIntegrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflowsDesign robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache SparkEnforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standardsSupervise team activities and contribute to change initiatives in line with the Bank's continuous improvement standardsSupporting, Coaching and Mentoring more junior members of the team, when requiredAdditional responsibilities on occasion, on management requestAs an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.RequirementsWhat we need from you:A Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative fieldA minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworksProficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure PurviewDeep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystemsMastery of Terraform for multi-cloud resource automationProven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoringExpertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS)Strong understanding of secure networking (WAF, NSGs) and secret managementIt would be beneficial if you also have:Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferredAbility to seamlessly manage workloads that span across both AWS and AzureSkill in communicating complex technical infrastructure requirements to non-technical business stakeholdersAdaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflowsProactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocityBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions. Show more Show less

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The RoleAs an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives.  We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems. The ideal candidate has experience in large model training and/or post-training, a deep understanding of training dynamics and model convergence, and expertise in data curation, combined with strong communication skills.   Key Responsibilities Customer Use Case Discovery & Project Scoping Collaborate with customer stakeholders to identify the best approaches to their business problem with AI. Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures. Define project milestones, success metrics, and rigorous evaluation benchmarks to ensure the solution delivers measurable value to the customer’s business. Custom SOTA Models and AI Systems Development Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements. Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO. Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis. Navigate the nuances of model convergence on specialized hardware, performing deep-dive analysis into loss dynamics and gradient stability. Scale training workloads across Cerebras clusters, ensuring efficient utilization of the hardware for multi-billion parameter models. Build and optimize the core components of agentic systems, focusing on tool-use capabilities, long-context reasoning, and multi-step planning. Technical Customer Leadership Serve as an AI/ML subject matter expert during technical deep-dives, translating customer requirements into precise training recipes. Build and maintain strong customer relationships to become their go-to AI/ML expert. Internal Research and Engineering Collaboration Act as the "voice of the customer" for internal R&D and engineering teams to drive improvements in our software stack and hardware utilization. Partner with internal ML teams and product teams on prioritization of novel model architectures with Cerebras software stack, development of training recipes and internal case studies. Distill customer-facing successful projects into internal playbooks, helping scale the FieldML team’s ability to deliver specialized models.Skills And Qualifications   Education: Master’s or PhD in Computer Science, Machine Learning, or related fields. Broad Deep Learning Expertise: Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics.  Hands-on Trainig Experience: Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training.  Engineering Proficiency: Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools. Strong Interpersonal and Communication Skills: Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve. Able to present complex technical results to diverse audience - from C-level executives to research scientists, and to work collaboratively to solve customers’ unique challenges.   Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2026.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice. Show more Show less

OverviewInception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.The opportunityJoin a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.ResponsibilitiesIn the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.Propose scenarios where AI techniques could improve the efficiency of the customer’s business.Provide pre-sales and post-sales technical support to the business development team.QualificationsSkills and attributes for successThe criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.To qualify, you must haveM.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.Minimum 6 years of experience in developing AI algorithms for various modalitiesTrack record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.Ideally, you’ll also needA highly curious and inquisitive approach to problem-solvingIn-depth knowledge of the latest developments in AI and machine learningExcellent communication skills What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What Working At Inception OffersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Show more Show less

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank's digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.As the AI Engineer with Deeplight, your responsibilities will include:Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworksDeveloping automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer serviceImplementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise searchModel Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniquesOperationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift managementEstablishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilienceActing as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teamsAs an AI consultancy, our greatest asset is the expertise of our people.While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.RequirementsWhat we need from you:Bachelor's degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master's degree in AI/ML is highly preferred5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank projectProven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred)Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)Expert-level programming in Python specifically for ML/AI engineering and Generative AI applicationsDeep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop)Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB)Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes)Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflowsIt would also be beneficial if you have experience of the following:Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and complianceActive engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and BedrockExceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholdersDeep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AIBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions. Show more Show less

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job DescriptionAs the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.ResponsibilitiesLeveraging ambiguous business problems as opportunities to drive objective criteria using data.Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.Designing and implementing effective and impactful machine learning systems in production.Developing a deep understanding of the product experiences and business processes that make up your area of focus.Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.Working closely with product and business teams to identify important questions that can be answered effectively with data.Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.Designing, planning, and analyzing experiments (A/B and multivariate tests).Supporting product and business managers with KPI design and goal setting.Mentoring other data scientists in their growth journeys.Contributing to improving our ways of work, our tooling, and our internal training programs.QualificationsTechnical ExperienceExperience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).Excellent SQL.Competence with reproducible data analysis using Python or R.Familiarity with data modeling and dimensional design.Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).Familiarity with BigQuery and the Google Cloud Platform is a plus.Data engineering and data pipeline development experience (e.g. via Airflow)QualificationsBachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.6+ years of experience working in data science, machine learning, and Gen AI.Experience doing data science in an online consumer product setting is a plus.A good problem solver with a ‘figure it out’ growth mindset.An excellent collaborator.An excellent communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen. Show more Show less

We are seeking a highly skilled Vision & Sensors Engineer to join our innovative robotic manufacturing team in Dubai. The successful candidate will design, develop, and deploy advanced machine vision systems and sensor technologies that enhance the precision, reliability, and intelligence of robotic solutions operating in real-world industrial environments.Key Responsibilities:• Design, develop, and integrate 2D/3D vision systems and sensor technologies for robotic and manufacturing applications.• Develop perception outputs including measurements, accuracy/confidence metrics, and accept/reject logic.• Implement and maintain camera calibration and camera-to-world alignment.• Design and optimize algorithms for image processing, object detection, inspection, and sensor data interpretation.• Conduct system testing, calibration, validation, and troubleshooting under real manufacturing conditions.• Collaborate with cross-functional teams including robotics, software, automation, and project stakeholders.• Document technical designs, specifications, and deployment processes.• Stay up to date with emerging technologies in machine vision, sensors, and robotics.Qualifications & Skills:• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, Computer Vision, Mechatronics, or a related field.• Proven experience in machine vision / computer vision systems, preferably in robotics or manufacturing environments.• Strong understanding of image processing, machine vision algorithms, and sensor integration/fusion.• Hands-on experience with vision hardware such as industrial cameras, 3D cameras, LiDAR, or similar sensors.• Proficiency in Python, C++, and/or MATLAB.• Experience working with real-world industrial constraints (lighting, vibration, speed, accuracy).• Strong analytical, problem-solving, and collaboration skills.• Excellent communication skills and a proactive mindset.📩 Interested candidates, please share your profile at: drishti.sah@careernet.inOR apply directly. Show more Show less

🌟About Miral ExperiencesAt Miral Experiences, we create world-class immersive destinations and experiences that delight millions of guests each year. As part of our continued digital and AI transformation journey, we are expanding our AI & Data capabilities to power intelligent automation, advanced analytics, and next-generation guest experiences across our portfolio.If you are passionate about building enterprise-grade AI solutions that deliver real business impact, we would love to hear from you.🚀 The Role📍 Abu Dhabi, UAE | 💼 Technology / AI & Data | 🕒 HybridWe are seeking a Senior Manager – AI Engineer to lead the design, development, and deployment of AI Agents and advanced AI-driven data science solutions. This role will play a key part in scaling enterprise AI capabilities using Databricks, RAG architectures, fine-tuned LLMs, and modern MLOps practices.You will work cross-functionally with business, technology, and data teams to deliver intelligent automation and measurable value across the organization.🔧 Key ResponsibilitiesLead the development and deployment of AI Agents using Databricks and LLM frameworksDesign and implement RAG pipelines, vector databases, and fine-tuned AI modelsDevelop advanced data science and machine learning solutions powered by AI agentsOwn the end-to-end AI lifecycle (data → modeling → deployment → monitoring)Translate business requirements into scalable AI solutionsIntegrate AI capabilities with enterprise platforms and data ecosystemsEnsure strong AI governance, performance, scalability, and reliabilityLead and mentor a team of AI Engineers, Data Scientists, and MLOps specialistsManage AI initiative budgets and platform investments✅ Qualifications & ExperienceEducationBachelor’s or Master’s degree in AI, Data Science, Computer Science, or related fieldExperience8–12 years in AI, Machine Learning, or Advanced Analytics3–5 years leading AI or Data Science teamsExperience delivering enterprise AI or Generative AI solutions (preferred)🧠 Technical SkillsEssentialStrong expertise in AI Agent development and orchestrationDeep understanding of RAG, fine-tuning, and LLM conceptsHands-on experience with Databricks, MLflow, and PythonAdvanced machine learning and data science capabilitiesPrompt engineering and vector database experienceMLOps and scalable AI deploymentDesirableExperience with Snowflake, AWS, Azure, or GCPExposure to autonomous AI agents and GenAI solutions💼 What We’re Looking ForStrategic thinker with an innovation mindsetStrong leadership and stakeholder management skillsExcellent communication and influencing abilityOwnership mentality and strong problem-solving skillsPassion for continuous learning in emerging AI technologies📩 Ready to shape the future of AI at Miral Experiences? Apply now or reach out to our Talent Acquisition team to learn more. Show more Show less

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Science Product Analytics in United Arab Emirates.In this strategic leadership role, you will guide a high-impact Product Analytics team dedicated to transforming data into actionable insights that shape product strategy and user experience at global scale. You will oversee a team of data scientists partnering closely with product managers, engineers, designers, and research leaders to drive evidence-based decision-making. Operating in a fast-paced, mission-driven and highly collaborative environment, you will ensure rigorous experimentation, accurate reporting, and accessible analytics. This role combines people leadership, advanced experimentation expertise, and data product development to influence key product outcomes. You will help cultivate a culture of curiosity, inclusion, and excellence while enabling stakeholders to make smarter, data-informed decisions.AccountabilitiesLead, mentor, and develop a team of approximately seven data scientists, fostering a collaborative, inclusive, and high-performance culture focused on trust and empowerment.Ensure the timely delivery of accurate quantitative insights to inform product strategy, guide feature development, and measure product impact in a dynamic environment.Partner closely with product managers, engineering teams, and research stakeholders to embed data-informed thinking into product development processes.Oversee experimentation frameworks, measurement standards, product health metrics, dashboards, and reporting practices to improve clarity and accessibility of insights.Collaborate with data engineering and experimentation platform teams to design and maintain scalable data products and tools.Establish shared data processes and quality standards to ensure reliability, consistency, and transparency across analytics initiatives.RequirementsSignificant experience in experimental design, statistics, and large-scale user or audience analytics within digital product environments.Proven track record collaborating with cross-functional product development teams in fast-paced settings to evaluate user-facing features.Prior people management experience with demonstrated ability to coach, mentor, and develop technical talent.Strong expertise in large-scale data processing and storage tools such as Hadoop, Hive, Presto, Spark, or similar ecosystems.Ability to translate complex analytical findings into clear recommendations for non-technical stakeholders and senior leaders.Demonstrated commitment to equity, inclusion, and responsible data practices, including handling sensitive information with discretion.Strong critical thinking skills, intellectual curiosity, and comfort navigating ambiguity in complex organizational environments.Availability to work within UTC+1 to UTC-8 time zones, attend key meetings between 14:00 and 22:00 UTC, and travel up to four times per year.BenefitsCompetitive annual salary ranging from US$132,439 to US$192,799 for U.S.-based candidates, adjusted by location, skills, and experience.Remote-first work environment with global collaboration across multiple countries and cultures.Comprehensive healthcare coverage and well-being benefits.Generous paid time off and flexible work arrangements to support work-life balance.Professional development opportunities and support for conference attendance and offsite gatherings.Inclusive workplace culture committed to diversity, equity, and equal opportunity.Why Apply Through Jobgether?We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best!Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more Show less

Be part of shaping how AI transforms how we work. You'll scout emerging AI technologies, pilot new tools, and coordinate cross-departmental adoption projects. A key focus will be managing and enhancing our internal Knowledge Hub — ensuring information flows seamlessly and employees can leverage AI to its fullest.What you will do :Design and implement agentic architectures — multi-step planners, ReAct loops, tool-use orchestration, and memory systemsBuild reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humansIntegrate LLMs (Claude, GPT, open-source models) with external tools, APIs, databases, and enterprise systemsDevelop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in productionImplement guardrails, safety layers, and human-in-the-loop controls for autonomous systemsOptimize for real-world constraints: token costs, latency budgets, rate limits, and context window managementCollaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolioContribute to internal tooling and frameworks that accelerate agent development across the organizationRequirements5+ years of software engineering experience, with at least 1-2 years focused on LLM-based systems Hands-on experience building agentic systems — not just prompt engineering, but orchestration, tool use, and state management Strong proficiency in Python; familiarity with TypeScript is a plus Deep understanding of LLM APIs (Claude, OpenAI, etc.), including function calling, structured outputs, and streaming Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, custom frameworks)Solid software engineering fundamentals: testing, CI/CD, observability, version controlExperience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systemsExperience with MCP (Model Context Protocol) or similar tool-integration standardsBenefitsOpportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen. Show more Show less

Job SummaryWe are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.Key Responsibilities:Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.Ensure data integrity, consistency, and high performance across analytics solutions.Collaborate with business units to understand reporting needs and translate them into technical solutions.Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.Qualifications & Experience: BTech / BSc in Computer Science, MCA, or equivalent technical qualification.2–5 years of proven experience in data analytics, modeling, and dashboard development.Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.Ability to work independently as well as collaboratively in a dynamic, fast-paced environment. Show more Show less

Organization Unit PurposeEmirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD’s ambitious advanced analytics agenda across ENBD.Core objectives of the center include:- Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU’s- Instill a data driven culture across ENBD by building organization wide capabilities in advanced analyticsThe CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what’s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget & performance managementJob PurposeThe data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targetsThe role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniquesThe senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needsThe role supports Translators in communicating the design, functioning and output of the analytical models/solutions developedThe senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growthJob ContentDeliver a strong roadmap of AA projects in collaboration with Business UnitsDesigns and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targetsArtefact documentationSuccessful documentation of reusable codeDevelopment and learningAchieve personal technical development and learning goalsCollaboration and knowledge shareConduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etcParticipates in and helps plan cultural initiatives for CoEEducationUniversity degreeAdvanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirableExperiences6-8 years of experience in a data science role is essentialKnowledge & SkillsValidated experience of defining analytics road map and leading analytics engagementsShould have experience in machine learning, statistics, optimization or related fieldsExperience with programming is a must; specifically experience in R or PythonExperience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essentialStrong analytical and problem-solving skillsWorked in agile environments with multiple stakeholders from the businessBehavioral CompetenciesPractical and action orientedCompelling communicatorExcellent stakeholder managementFoster and promote entrepreneurial spirit and curiosity amongst team membersTeam playerQuick learner Show more Show less

QuantumGate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.We are looking for a Senior Data Scientist to build and continuously improve the data models and the knowledge graph which will be the base of our Cryptography Discovery Tool.. You will own the technical approach for modeling, enriching, and operationalizing graph-based insights that support cryptographic asset visibility and security decision-making at enterprise scale.This is a hands-on role with end-to-end accountability: from schema/ontology design and entity resolution through data analytics, graph ML, evaluation methodology, and production integration.Responsibilities:Work closely with cryptographer and cyber security experts to translate business challenges into well-defined data science problems.Define and evolve the graph schema/ontology for security and cryptographic domains (e.g., certificates, keys, algorithms, protocols, applications, services, policies).Establish modeling standards and ensure explainability and auditability of graph-derived outputs.Architect pipelines to ingest and harmonize data from various sources.Lead entity resolution and record linkage, reconciling overlapping or inconsistent records produced by multiple collectors and data feeds (deduplication, identifier mapping, fuzzy matching, confidence-scored linking).Implement and monitor data-quality metrics: coverage, freshness, consistency, lineage, and confidence scoring.Develop graph-based analytics to surface security posture and cryptographic risk (centrality, community detection, blast-radius/dependency analysis, reachability queries).Explore and integrate Large Language Models (LLMs) and Generative AI frameworks to enhance product features and operational efficiency.Design and develop an AI assistant that translates natural-language questions into validated, safe, and performant knowledge-graph queries (e.g., Cypher/Gremlin/SPARQL).Requirements:5+ years in data science, applied ML, or data/graph-focused roles (or equivalent experience), with demonstrated ownership of production-grade systems.Strong expertise in knowledge graphs and graph analytics, including graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL).Proven experience with entity resolution and working with real-world enterprise data at scale.Solid foundations in applied statistics/ML and the ability to design rigorous evaluation methodologies.Proficiency in Python and experience building data pipelinesGraph DB/query: Cypher/Gremlin/SPARQL.Data processing/orchestration: SQL, Hadoop stack, Spark/Databricks, Airflow.ML stack: scikit-learn, PyTorch; graph ML libraries (e.g., PyG, DGL).Experience working with large datasets.Desired Skills:Cybersecurity domain familiarity, especially in one or more of: Cryptography (classical and post-quantum), PKI, certificate lifecycle, key management, vulnerability management.Experience with streaming or incremental ingestion (Kafka, CDC, timestamp-based deltas) and data observability.Background in applied research and/or publications in graph ML, security analytics, or related fields.Tableau, Power BI or Python libraries like Seaborn/Plotly.Ability to understand the "why" behind the data and its impact on the bottom line.Eagerness to stay ahead of the curve with the rapid evolution of data processing tools and frameworks. Show more Show less

About the CompanyCareem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.About The TeamThe Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.What You'll DoLead a 0-1 AI transformation for Careem app from personalization perspective.Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decisionImplement scalable machine learning algorithms that will be used in production on big data.Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.Build and deploy retrieval augmented generation systems and other applications of large language models.What You'll Need10+ years of experience in data mining, predictive modeling, time series analysis, machine learning, LLM, Big Data methodologies, transformation and cleaning of both structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.Solid experience with Deep Learning Techniques (e.g attention, retrieval models, etc)3-4 years industrial experience in personalization, recommendation or search. Preferably working in a product driven company.LLM and GenAI experience Strong problem solving and coding skills.Solid knowledge of AB testing, classic ML and DLSolid understanding of recommendations, ranking and retrieval. Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus. Show more Show less

PurposeThe Data & AI Manager is responsible for defining and executing EIA's data, analytics, and artificial intelligence agenda toenable data-driven decision-making across investment and corporate functions.Operating within a sovereign wealth fund context, the role focuses on building scalable data platforms, advancedanalytics capabilities, and AI use cases that support investment performance, risk management, strategic planning, andoperational efficiency, while ensuring strong governance, data quality, and responsible AI use. The role focuses on AI andanalytics value creation, prioritisation, and adoption, working in partnership with IT for platform delivery and operations.Strategic Responsibilities Define and lead EIA's Data & AI Strategy, ensuring alignment with the Digital Strategy, investment priorities,and corporate strategy. Establish enterprise-wide data governance frameworks, including data quality standards, ownership models,and analytics principles. Identify, prioritize, and sequence AI and advanced analytics use cases that deliver measurable business value Promote data literacy and adoption across investment and corporate teams to embed data-driven decisionmaking Act as a strategic partner to senior leadership on data, analytics, and AI-enabled insightsCore Responsibilities Data Architecture & Analytics Platforms Define data and analytics requirements, standards, and target‑state architecture in collaboration with IT andenterprise architecture. Ensure data and AI solutions meet business requirements for scalability, security, and governance, incoordination with IT. Oversee data ingestion, transformation, and modelling to support analytics and reporting needs, with technicaldata pipeline development and engineering owned by IT. Analytics, AI & Decision Support Own the end‑to‑end AI use‑case lifecycle, including identification, prioritisation, business case development, value measurement, and adoption Develop dashboards, predictive models, and decision-support tools for investment, strategy, risk, and performance teams Lead the delivery of AI-enabled solutions, including advanced analytics, forecasting, and pattern detection Ensure AI use cases are aligned with business objectives and supported by reliable data foundations Technical build and platform operations are delivered jointly with IT and external partners Data Governance & Quality Ensure data quality, lineage, consistency, and transparency across enterprise systems Implement data standards, controls, and monitoring mechanisms to support governance and audit requirements Support responsible and ethical use of AI, including transparency, explainability, and appropriate human oversight Develop AI acceptable‑use guidelines, human‑in‑the‑loop principles, and AI literacy programmes in partnership with Risk, Compliance, and HR Stakeholder Collaboration & Enablement Partner with IT and business stakeholders to implement analytics and AI solutions Translate business needs into data and AI requirements and ensure solutions are adopted effectively Support strategic initiatives through advanced analytics and insight generationPeople & Capability Responsibilities Build and develop data and analytics capabilities across teams Establish knowledge-sharing practices, standards, and best practices for analytics and AI adoption Support capability uplift through training, tools, and data literacy initiativesKey Deliverables Enterprise data platforms and standardized analytics dashboards AI use cases supporting investment research, risk analysis, performance measurement, and strategic planning Data governance frameworks, policies, and standards Insight-driven support for strategic and investment initiativesRequirementsEducation & Qualifications Bachelor's or master's degree in data science, Computer Science, Engineering, Statistics, or a related fieldExperience Requirements 8-12 years of experience in data, analytics, or AI roles within complex organizations Experience within sovereign wealth funds, asset owners or investment managers strongly preferred Proven experience delivering enterprise analytics platforms and AI-driven solutions Strong understanding of data platforms, cloud-based analytics, and machine learning conceptsTechnical Expertise / Skills / Knowledge Data architecture, analytics platforms, and reporting tools AI and machine learning concepts and practical applications Data governance, quality management, and metadata practices Cloud-based data ecosystems and modern analytics stacks Strong ability to translate complex data insights into business-relevant outcomes Excellent stakeholder engagement and communication skills Show more Show less

Job DescriptionKey Responsibilities Independently design and implement end-to-end AI, Generative AI, and agentic AI solutions, taking full technical ownership of architecture, development, deployment, and optimization. Architect and build frameworks for autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using APIs, tools, enterprise systems, and external services. Develop robust integration patterns for LLMs, ML models, and agentic systems with enterprise applications, including databases, APIs, and legacy platforms, enabling intelligent tool-using agents. Hands-on model selection, fine-tuning, evaluation, and optimization for LLMs, transformer-based architectures, diffusion models, and other advanced AI models. Design advanced system components such as agent memory, reflection loops, vector stores, and long-horizon planning mechanisms to support scalable agentic intelligence. Work closely with cross-functional stakeholders to identify automation and augmentation opportunities, translating business needs into AI architecture and actionable solution designs. Implement strong governance, compliance, and Responsible AI controls, ensuring transparency, security, and safe deployment of all autonomous and generative systems. Define and operationalize monitoring, observability, and performance evaluation frameworks for continuous improvement of AI models and agentic systems. Drive cost optimization strategies across AI infrastructure, training pipelines, inference workloads, and cloud resource utilization. Ensure measurable value realization by validating that implemented AI solutions deliver tangible business impact and align with organizational objectives. Collaborate with the AI/ML engineering community and provide technical direction when needed, while maintaining personal hands-on ownership of core development activities. Education and Qualification Master’s degree (preferred) or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Advanced certifications or specialization in AI/ML architecture, cloud platforms, or generative AI technologies are a plus Certification in Databricks, Azure AI Engineer or Azure Data Scientist Associate 8-10 years of experience in AI/ML solution design and architecture, including at least 4+ years in Generative AI and agentic AI systems. Proven track record in architecting large-scale AI platforms, integrating LLMs, and designing multi-agent systems. Strong proficiency in Python and deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers). Expertise in LLMs (e.g., GPT, Claude, LLaMA), vector databases, and prompt engineering strategies. Hands-on experience with agentic frameworks (e.g., LangChain Agents, AutoGPT, OpenAgents, CrewAI) and orchestration of autonomous agents. Deep knowledge of planning, reasoning, and decision-making architectures for autonomous systems. Experience in cloud-native AI architecture on Azure, including Azure ML/AI platform, Copilot Studio, and Azure Foundry. Strong background in containerization and orchestration (Docker, Kubernetes) for scalable AI deployments. Familiarity with reinforcement learning, symbolic reasoning, and neuro-symbolic AI approaches. Experience with real-time data processing, event-driven architectures, and MLOps best practices for production-grade AI systems. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleThe Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions — collaborating across Design, Engineering, and Data to build features our customers love.We’re looking for an Applied AI Lead who knows how to take responsibility over the roadmap of their product, including day-to-day operations, project execution, and addressing risks. From conception to launch and beyond, you’ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.Up to shape what's next in finance? Let's get in touch.What You’ll Be DoingOwning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologiesCollaborating closely with Data Scientists and Software Engineers to deliver impactful solutionsLeading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platformsSetting your team's goals, success metrics, and roadmap to align with company goalsDelivering measurable results for sophisticated products under ambiguous situations in a fast-paced environmentWhat You'll NeedExperience developing and launching AI products/features from scratch High analytical and technical acumen, along with solid business sense and problem-solving skillsExperience in a data science or machine learning roleExperience owning machine learning projects, from design to implementation and iterationGreat Python, SQL, or other programming language skillsHands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)Knowledge of version control, model deployment, and developer environmentsEvidence of impressive mathematical and statistical knowledgeAn entrepreneurial drive to never settleBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.Job PurposeThe AI/ML Digital Solution Architect is responsible for architecting AI/ML solutions and support the analytical implementation for the production of Oil & Gas, Petrochemicals and other domain. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit/ Solution Division in developing a differentiation in a high-growth competitive environment in YMA region.Key Responsibilities & AccountabilitiesPerform high level technical analysis activities leveraging AI/ML technology. The individual is required to gather and perform gap analysis and to explore use of AI/ML technology to resolve customers’ problems.Responsible to advice on suitable AI/ML solution and to provide overall business portfolio management, design and demo functions.Responsible for the business case identification, implementation support and successful proliferation of focused AI applications in the assigned industry / application.Responsible to ensure client expectations are understood and being met using AI/ML.Responsible to ensure timing and quality of assigned deliverables completion while working to support delivery team.Responsible to ensure AI best practice approaches and methods are being used as appropriate.Engage with customer in assigned technical area(s) to develop solutions that help to resolve their process problems and grow their business leveraging AI and other APC/RTO if possible.Support SM/DX training efforts - Provide input, document requirements, and support the design and delivery of AI related training programs.Responsible for / contribution to the preparation of reports for clientsDefine solution architectures and develops detailed design specifications.Define functional requirements through client interviews, documentation analysis and Workflow Process Mapping. Knowledge of SIRI Assessment is an advantage.Provide expert knowledge and experience to estimate the technical effort required to implement complex AI solutions.Responsible for technical deliverables during the entire lifecycle of solution development projectsActively participate on a technical project team, ensuring that effective relationships are built and maintained. Proactively engage with customers to define the overall technical approach for AI implementation with simulation or Digital Twin.Assist existing customers in problem resolution and help define future opportunities with those customers. Provide Sure Service support to clients under contract.Proven ability to positively interact with all sales personnel and secure orders.Qualification And ExperienceBachelor’s Eng./Comp Science or minimum 6 years industry experience in AI based software development, engineering discipline and salesMinimum 4 years’ experience designing or implementing AI/ML applications. Knowledge of AI for control will be advantages.Strong problem-solving skills with an emphasis on Solution development.Must be willing and able to travel throughout the YMA / YIL / YEF regions.CompetenciesGood communication skills, a team player, ability to energize. Knowledge of Oil and Gas, Petrochemicals or specialized chemical Domain will be a plus.Strong Knowledge on IIOT integration conceptsKnowledge on Latest’s market trendTough and persistent negotiation skillsSkillsAI related Software skills in software analysis, design, methodology, and architecture Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), visualization, quality and efficiency in manufacturing, SCADA, automated decision control, workflow, database applications and scheduling.Basic knowledge on R and Python and Machine Learning is added value.Basic knowledge on Big Data Analysis and Cloud ComputingAnticipates the needs for change and supports and promotes companywide programs, strategies and initiatives.Develop and identifies Industry / application-wide Digital technologies suitable for business use.Creates an environment conductive to successful interaction and customer satisfaction.Early engagement with Customers and explore long term partnership agreements.(PLUS) Experience with physical simulators (e.g., OmegaLand, Petro-SIM)Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process! Show more Show less

Role: Senior AI Engineer Location: Dubai My client is looking for an AI Engineer to help build autonomous agentic systems inside real enterprise environments.This is not a chatbot role. You’ll design and deploy AI agents that think, decide, and act across CRMs, databases, and internal workflows — shaping how the next generation of enterprise software behaves.What You’ll DoBuild and ship production-grade AI agents using modern orchestration stacks (n8n, Temporal, agentic frameworks).Design multi-agent architectures (planner–executor, memory, tool-using agents).Push RAG, embeddings, and vector search to ground decisions in real-time data.Integrate leading LLMs (OpenAI, Anthropic, Claude) with enterprise systems.Own the AI lifecycle end-to-end: prompting, evaluation, deployment, and monitoring.What My Client Is Looking For5+ years in applied ML, NLP, or AI systems.Strong hands-on experience with LLMs and agentic frameworks.Proven delivery of RAG pipelines and vector databases.Solid Python skills and enterprise software experience.A builder mindset — comfortable operating in ambiguity.Why JoinTop-tier compensation + meaningful equity.Best-in-class hardware, AI tools, and cloud credits.Flexible PTO and working hours.A high-ownership, high-impact environment building foundational AI.*** Only successful candidates will be contacted *** Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for Data Scientists to help us shape the future of financial services. It’s a challenging task, but you’ll be part of a strong and supportive teamYou’ll be collaborating with experienced professionals in Product, Design, Data Science, and Engineering on impactful projects that drive our company’s growthUp to shape what's next in finance? Let's get in touch.What You’ll Be DoingImproving existing algorithmsBuilding new PoCsDelivering data-driven solutions to enhance product performanceResearching and developing PoCs into scalable data productsCollaborating with product owners, engineers and data scientists to continually solve complex data problemsWhat You'll NeedExperience building and leading a data science team within a scaling organisationBachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)Solid knowledge of data science tools including Python, SQL and production frameworksDemonstrated knowledge of probability and statistics fundamentalsThe ability to think strategically and diagnose problems accuratelyExperience productionising research into scalable solutionsExcellent communication and collaboration skills to partner with Product Owners and senior stakeholdersNice to haveAdvanced degree in a quantitative discipline (e.g., Masters or PhD)Experience with additional programming languages such as Java, Scala or C++Experience working in anti-fraud functionsExperience working at a large-scale global tech companyParticipation in Olympiad competitions in Physics, Mathematics, Economics or Programming at school or university levelBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Develop and support implementation of strategies & plans for Digital Oilfields activities in line with Company’s objectivesand priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintainthe DOF Strategy and benchmarks against ADNOC Group of Companies.Design, implement and maintain ADNOC’s Offshore the technical artificial intelligence strategy and data analyticsframework in order to model complex ADNOC Offshore problems and finding opportunities by solving business relatedissues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunitiesthrough the use of algorithms, statistical models and visualization techniquesKEY ACCOUNTABILITIES:Job Specific AccountabilitiesArtificial Intelligence Develop and maintain ADNOC’s Offshore artificial intelligence strategy for the core business and technical domainsrelated to exploration, development and production. Develop and maintain ADNOC’s offshore artificial intelligence guidelines document to provide general guidanceand state the minimum requirements for technical departments and projects. Work closely with discipline engineers and subject matter expertise and others in order to produce systems thatutilize artificial intelligence and capable of adapting or changing based on adding data. Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized,which can be solved or improved by implementing artificial intelligence tools. Conduct regular market surveys and be aware of different technological announcements (advancements) relatedto artificial intelligence and data science. Compare the top ranked technologies by Garner’s and others andevaluate the technology functionality related to oil & gas industry. Develop scalable tools leveraging deep learning models to solve business problems in areas such as voicerecognition, natural language processing and time series predictions. Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a productionlevel artificial intelligence application.Data Science A data scientist capable to model complex problems while realizing ADNOC’s offshore insights and identifyingopportunities through the use of algorithms, statistical models, data mining and visualization techniques. Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.Provide business metrics for the overall project to reflect improvements by periodic monitoring over multipleiterations. Conduct workshops and session to help the technical departments understand the principles and math behind theprocess to drive organizational buy-in and to build multi discipline teams that are capable to define, model andsolve problems related to their domains. Design and launch innovative and complex analytic models and lead the development of big data capabilities andutilization as well as the coordination of cross-functional analytic initiatives. Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate andmaintain predictive models Educate the organization both from IT and the business perspectives on new approaches, such as testinghypotheses and statistical validation of results. Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed usingappropriate data and appropriate analysis tools. Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmicstatistical models as a core. Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects. Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analyticstechnologies to be added to the big data platforms. Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a newteam of Data Scientists.Data Preparation Identify what data is available and relevant, including internal and external data sources, leveraging andautomating new data collection processes. Support in the application of patterns and variations in the volume, speed, variety and other characteristics ofdata supporting the data analytics initiative. Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build modelsrelated to oil and gas business.General Provide input for preparation of the Team / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver team objectives. Investigate and highlight any significant variances to support effective performance and cost control Contribute to the achievement of the approved Performance Objectives for the Team / Department in line withthe Company Performance framework. Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Supervision Plan, supervise and coordinate all activities in the assigned area to meet functional objectives. Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliverthe respective section objectives.Budgets Provide input for preparation of the Section / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver Section objectives. Investigate and highlight any significant variances to support effective performance and cost controlPolicies, Systems, Processes & Procedures Implement approved Section / Department policies, processes, systems, standards and procedures in order tosupport execution of the Section’s / Department work programs in line with Company and International standards.Performance Management Contribute to the achievement of the approved Performance Objectives for the Section / Department in line withthe Company Performance framework.Innovation and Continuous Improvement Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Health, Safety, Environment (HSE) and Sustainability Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelinesin line with international standards, best practices and ADNOC Code of Practices.Reports Provide inputs to prepare Section MIS and progress reports for Company Management.COMMUNICATIONS & WORKING RELATIONSHIPS: Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplinessenior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutionsrequirements acquisitions strategies. Frequent communications with Procurement Divisions for solutions acquisition & MSU contracts. Regular contacts with various other divisions’ personnel to discuss/exchange information and advises on relevantAI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc. Daily interactions with other Specialists. Regular contact with IT representatives. Occasional contact with counterparts in ADNOC and other Group Companies for exchange ofinformation/knowledge, shared projects and project related experience. Regular contact with ADNOC HQ Operations Excellence, R&D and Panorama Unit.External Frequent contact with services providers, consultants, vendors etc.QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:Minimum Qualification Bachelor’s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline.Minimum Experience & Knowledge & Skills Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within theOil & Gas industry. Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN) Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras,Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset. Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau). Experience with data mining and visualization tools. Experience with data preparation (pre-processing, feature engineering and feature selection), model training,application classification, regression. Experience supervised and unsupervised in machine learning algorithms. Experience with data capturing, aggregation, collation and manipulation with large data sets. Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark). Analytical mind, business insight and have strong math and statistics knowledge. Excellent communication and presentation skills. Proficient in English.Professional Certifications International certifications in Project management, Process improvements & Standardisation, and/or Technologyimplementation. 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📍 RAKBANK | Enterprise AI | GenAI | Platforms at Scale🤖 About the Role:As Vice President - AI Platform Owner, you will own and lead RAKBANK’s enterprise AI platform that powers GenAI and advanced AI capabilities across the bank. This is a role with real ownership - responsible for production platforms operating at scale, serving real customers, and meeting enterprise‑grade risk and regulatory requirements. You will lead the technology foundation for AI enablement, acting as the single point of accountability across cloud and on‑prem environments, while ensuring AI capabilities are secure, scalable, cost‑effective, and reusable. Balancing rapid innovation with stability and governance, you will establish the AI platform as a core, executive‑sponsored enterprise capability and partner closely with senior business and technology leaders to embed AI as a strategic, bank‑wide driver of impact.🧠 What You’ll Be Doing:You’ll sit at the intersection of AI strategy, platform engineering, and enterprise execution.Own the end‑to‑end AI platform strategy, roadmap, architecture, and operating modelDefine and evolve the AI platform vision aligned with enterprise technology and business strategyMake critical build vs buy vs partner decisions for AI models, platforms, and toolingEnable modern AI paradigms including GenAI, agentic AI, AI‑augmented development, and AIOpsOwn the full lifecycle of LLMs and SLMs across open‑source and commercial ecosystemsLead model selection, evaluation, onboarding, fine‑tuning, and retirement decisionsOversee prompt strategies, embeddings, vector databases, and inference optimisationEnable a multi‑model, multi‑provider strategy across cloud, on‑prem, and hybrid environmentsLead deployment and operations of the AI platform across public cloud and private/on‑prem infrastructureEnsure high availability, resilience, scalability, secure data handling, and data isolationEnsure compliance with data residency, privacy, and regulatory requirementsIntegrate AI platforms with core banking systems, APIs, event platforms, data platforms, and digital channelsPartner with business, operations, risk, compliance, and technology teams to identify and prioritise high‑impact AI use casesEnable rapid experimentation without compromising enterprise controlsProvide reusable AI services, APIs, and platform componentsSupport AI adoption across customer experience, operations, automation, risk, compliance, fraud, and engineering productivityOwn run operations including monitoring, incidents, performance, SLAs, and model qualityManage platform change including enhancements, new model onboarding, and capability upgradesEstablish clear ownership, escalation, and support modelsOwn AI platform cost management across model usage, compute, storage, networking, tooling, and licensingEmbed Responsible AI principles into the platform by designImplement explainability, auditability, logging, and traceability controlsManage relationships with cloud providers, AI vendors, open‑source communities, and system integratorsStay ahead of emerging AI technologies and assess their impact on the bankLead, mentor, and grow a high‑performing AI platform engineering organisationAct as a senior AI technology evangelist across RAKBANK🎯 What We’re Looking For:We’re looking for a builder and owner, not a theorist.Proven experience owning enterprise‑scale platforms with true end‑to‑end accountabilityDemonstrated success operating at senior leadership or VP level in complex organizationsStrong run + change mindset with enterprise‑grade execution disciplineAbility to operate in fast‑moving, ambiguous, and highly regulated environmentsExperience managing cost, performance, and reliability at scaleStrong executive‑level stakeholder management and decision‑making capabilityAbility to translate business strategy into scalable AI platform capabilities🛠 Skills:10+ years’ experience in platform, cloud, or enterprise engineering roles with senior leadership exposureHands‑on experience with LLM‑based platforms and AI toolingExperience deploying and operating AI platforms in cloud and/or on‑prem environmentsStrong knowledge of APIs, microservices, data platforms, and event‑driven architecturesDeep understanding of LLM architectures, prompt engineering, embeddings, and vector databasesExperience with AI model lifecycle management, MLOps and LLMOpsExperience in banking or highly regulated industries (preferred)Exposure to AI governance, model risk, and regulatory frameworks (preferred)Experience with agentic AI or autonomous workflows (preferred)Background in developer platforms or internal product platforms (preferred)✨ What You’ll Gain:Competitive compensation and performance‑based incentivesMedical coverage for you and your familyComprehensive life insuranceExposure to high‑impact, bank‑wide AI transformationA supportive, inclusive workplace cultureOpportunities for long‑term career growth and leadership impact Show more Show less

We are a technology and innovation company headquartered in Abu Dhabi, helping organizations lead confidently in the digital era. By combining cutting-edge AI innovation with enterprise-grade cybersecurity, we enable businesses and governments to transform, scale, and operate securely in an increasingly complex world.We are growing fast — and we are looking for a Technical Delivery Manager who does not just manage projects but leads them. Someone who thrives at the intersection of technology and client impact, who can walk into a room with a C-suite and command credibility, and who genuinely cares about delivering outcomes, not just outputs.This is a senior, high-visibility role. You will own Programs end-to-end — from the moment we respond to an RFP, through delivery, and into managed services. You will advise clients, mentor internal teams, and help shape how we grow as a delivery organization hands on.Requirements10+ years of technical project and program delivery, with a track record of owning complex, multi-workstream engagementsProven experience in implementing GenAI, data, and advanced analytics solutions is required; practical knowledge of the technology is crucial rather than mere theoretical understandingExperience spanning the full engagement lifecycle: RFP response, project delivery, and post-go-live managed servicesProven client-facing experience at senior and executive level - regional stakeholder management is a significant advantageExperience operating in large enterprise or government delivery environments, particularly in sectors such as Energy, Oil & Gas, or Public SectorBackground in multi-vendor delivery environments with complex dependencies and distributed teamsMaster's degree in Computer Science, AI, Software Engineering, Data Science, or a closely related technical fieldYou do not need to be an engineer, but you must be able to hold your own in a technical conversation. We expect strong familiarity with:AI and ML solution delivery - understanding of model development lifecycles, data pipelines, RAG, and agentic AI application architectures. You are in touch with what is happening in the rapidly evolving AI ecosystemCloud-native platforms: Azure, AWS, or GCP — including microservices, containerization, and distributed system designData platforms: data lakes, data warehouses, analytics ecosystems, and data engineering pipelinesAPIs, system integration, and enterprise application architecturesDevOps, CI/CD practices, and modern SDLC methodologiesAgile / Scrum / SAFe and hybrid delivery frameworks; Jira and equivalent tooling. Program Leadership — End to EndOwn the full delivery lifecycle: from RFP response and solutioning through to go-live and post-delivery managed servicesDefine scope, roadmaps, delivery plans, milestones, and governance frameworks from day one of engagementDrive sprint and release planning across distributed engineering, data, and AI teams in Agile and hybrid delivery modelsManage risks, dependencies, budgets, and timelines with rigor - always maintaining meticulous documentation and program controlsEstablish and embed PMO practices, reporting cadences, and delivery metrics across the program you ownClient Advisory & Stakeholder ManagementAct as a trusted advisor to client leadership - translating complex technical delivery into clear, confident, executive-level communicationBuild and sustain strong relationships with senior client and government stakeholders across the UAE and wider Middle East regionLead board-level reporting and steering committee engagement, presenting progress, risks, and strategic recommendations with authorityNavigate multi-vendor and multi-stakeholder environments, aligning competing priorities and maintaining momentumRFP & Pre-Sales ContributionPlay a hands-on role in developing RFP responses and solution proposals - not simply reviewing, but actively writing, structuring, and shaping bidsWork with architecture and technical teams to estimate scope, effort, and delivery approaches for complex AI, data, and platform programsContribute to solution workshops and technical discussions, bringing delivery credibility to pre-sales engagementsAI & Data DeliveryLead delivery of AI and machine learning solutions, data engineering pipelines, analytics platforms, and cloud infrastructure programsCoordinate effectively with data scientists, ML engineers, and platform teams - you do not need to code, but you need to understand deeplyManage delivery across cloud-native (Azure, AWS, GCP) and on-prem environments, microservices architectures, API ecosystems, and CI/CD pipelinesTeam Leadership & MentoringServe as a mentor and coach to internal delivery teams - instilling best practices, building capability, and raising standards across the organizationCoordinate international vendors and distributed teams, ensuring alignment and accountability without direct line authorityFoster a culture of continuous improvement, learning, and delivery excellence within your programs Show more Show less

OverviewAbout PresightPresight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.Position OverviewWe are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.ResponsibilitiesKey Responsibilities Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems Create code that is elegant and maintainable Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work. Work closely with software engineering and product development teams on tech selections and solutions. When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great. Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.QualificationsQualifications:Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.Experience5+ years of professional R&D experience in Computer Vision, Digital Image Processing, and/or Machine LearningSkillsExperience in training and evaluating models using TensorFlow and PytorchExperience with training large-scale systems on large data setsFluent in C/C++ and Python with over 4 years of experienceTrack record of shipping working code and solutions based on your contributionsTeam player, ability to perform in cross functional teams and to share knowledge to othersGood communication skills in English Show more Show less

Job DescriptionJob Purpose Lead data governance and regulation to ensure availability, quality, and optimal use of corporate data. Oversee development of smart & interactive platforms that support decision-making. Link big data with AI applications and business analytics for proactive insights. Ensure compliance with national data policies and external exchange agreements. Establish data culture as a foundation for innovation and excellence.Key Results Accountabilities Manage development of interactive data platforms to support BI and decision-making. Govern corporate data repository: identify sources, build reference warehouse, ensure compliance. Oversee big data platform development for advanced analysis and corporate insights. Implement comprehensive data governance roadmap in line with policies & strategies. Improve data quality with periodic mechanisms in collaboration with entities. Manage big data platforms, dashboards, and data classification processes. Coordinate with Dubai Digital Authority & third parties for data exchange/update agreements. Ensure integration of required data for AI use cases and dashboards. Support AI use cases with unified data availability. Oversee design of enterprise databases/models for secure, efficient data storage & access. Ensure proactive updating of data requirements to retrain models or add new variables. Perform other duties as assigned. Strict adherence to RTA Information Security policies, data sharing guidelines, and reporting requirements.Qualifications Master’s or Bachelor’s in Computer Science, AI, Data Science, or related field. 11 years of relevant experienceJob CategoryElectrical EngineeringAdvertiserRoads and Transport AuthorityDepartmentCorporate Technology Support Services CEOEducational-levelBachelorRequired NationalityAll Nationalities (Priority for UAE National)Monthly SalaryUnspecifiedSchedule-TimeFull timeJob Posting05/03/2026Unposting Date05/04/2026 Show more Show less

Job DescriptionWe are looking for an AI Business Analyst to bridge business and technical teams for AI/ML solutions in Banking and Insurance. You will gather requirements, define solution scope, and ensure alignment with enterprise standards.Key Responsibilities:Engage stakeholders to capture business goals and translate them into functional & non-functional requirements. Prioritize features based on business value and feasibility. Assess data readiness and collaborate with data scientists and architects on solution design. Document user stories, acceptance criteria, and process flows using Figma and Miro. Support model training, validation, and ensure compliance with Responsible AI and regulatory norms. Define KPIs, track performance, and recommend enhancements for continuous improvement. Must-Have Skills:Strong Generative AI fundamentals. 8+ years of experienceExperience in Banking & Insurance domain. Proficiency in Figma and Miro for process visualization. Arabic language proficiency (verbal & written). Show more Show less

OverviewInception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.The opportunityJoin a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.ResponsibilitiesYour key responsibilitiesIn the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios. Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios. Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner. Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability. Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders. Propose scenarios where AI techniques could improve the efficiency of the customer’s business. Provide pre-sales and post-sales technical support to the business development team.QualificationsSkills and attributes for successThe criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.To qualify, you must have M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable. Minimum 6 years of experience in developing AI algorithms for various modalities Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.Ideally, you’ll also need A highly curious and inquisitive approach to problem-solving In-depth knowledge of the latest developments in AI and machine learning Excellent communication skillsWhat we look forIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What working at Inception offersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Show more Show less

Reports to: Research Team Leader - Soils, Waters and AgronomyLocation: Abu Dhabi, UAEMain purpose of the position ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA's Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.The Data Scientist will be embedded within ICARDA's institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science-driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA's capacity to deliver scalable, cross-program innovations for dryland resilience.About ICARDAThe International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.ICARDA's mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.Main Responsibilities Work across various ICARDA programs with a cohort of datasets: geospatial, biophysical, climatic, genomic and socioeconomic datasets to improve predictive capabilities of various agrifood system processes (from gene to regional scales) Develop Predictive AI solutions (machine learning, ANN, big data-based forecasting) and use generative AI applications to accelerate resilience in agriculture in the non-tropical drylands where ICARDA operates Example works include, but not limited to, mapping crop yield gaps, crop-water relations, soil salinity, climate risks, crop and livestock disease outbreaks, pest infestations, crop ideotype design, analyzing HTP phenotypic data, mapping soil carbon, and socioeconomic processes etc. Utilize geospatial analysis and remote sensing to assess dynamics of land use, crop conditions, and natural resources in irrigated, rainfed, deserts and rangelands, TPE analytics to help crop improvement etc Take leadership in cloud-based Data/AI workflows using AWS, Azure, or GCP along with the necessary cyber security protocols Provide thought leadership and advocacy for the application of different Large Language Models (LLMs) and GPTs for agricultural applications, such as text analysis of agricultural reports and farmer interviews. Provide supervision and oversight to test the efficacy of the LLMs/GPTs developed in CGIAR and bilateral initiatives for e-extension service platforms and other tools Engage in science-policy dialogues on digital actions with the key stakeholders at national and sub-national levels and liaise with key partners and play an active role in resource mobilization of the digital and data-driven research program at ICARDA Develop user-friendly applications and dashboards to visualize and communicate data insights to stakeholders in collaboration with developers and the software industry. These applications can be in across the ICARDA programs Be the focal point for ICARDA to identify, collect, and curate relevant data from various ICARDA teams, external sources including government agencies, farmers, and remote sensing platforms complying with the CGIAR FAIR data (Findable, Accessible, Interoperable, Reusable) principles Explore the use of IoT devices and sensors for data collection and real-time monitoring of agricultural and hydrometeorological variables and archive it to centralized databases located within ICARDA IT platforms Lead and support concept note and proposal development to strengthen ICARDA's resource mobilization efforts, while advancing a vibrant Digital and Data Science portfolio through collaborative project design and strategic partnerships.Stay updated on the latest advancements in the field and explore their potential applications in the nontropical dryland regions and liaise with key partners and stakeholders. Publish research findings in peer-reviewed journals and conferences Strengthen institutional capacity in data science and AI through training, mentoring junior staff, embedding reproducible workflows, and promoting standardized practices across projectsRequirementsEducation, qualifications, and experienceEssential qualifications and competencies: Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level is required Candidates with a Master's degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing is essential Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL) Demonstrated ability to lead data science projects and teams effectively Excellent communication and interpersonal skills are essential for engaging and collaborating with diverse stakeholders Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums is frequently required Capable of working both independently and collaboratively within a team setting Previous experience in agricultural research or related fields Knowledge of the agricultural context in the dryland regions Experience with leading ICT4D and data-centric projects Track record of publications in relevant scientific journals and web-based repositories such as GitHubDesirable skills: Strong programming skills in languages such as Python, R, and JavaScript to develop and implementAI and ML solutions.BenefitsTerms of appointment, salary, and benefitsThis is an internationally recruited staff position for which ICARDA offers an attractive compensation package including a competitive salary, medical insurance, 30 days of annual leave, five months' maternity leave, 15 days' paternity leave. The successful candidate will be offered an initial contract of 3 years, renewable subject to continued need for the position, availability of funds and satisfactory performance. The first year will be probationary period.ICARDA accepts applications only in English which is the organization's official communication language. Applications in other languages will not be considered.Only shortlisted applications will be contacted. Show more Show less

We’re looking for an AI Consultant to help organizations design, implement, and scale AI-driven solutions that solve real business problems. In this role, you’ll work closely with clients and internal teams to identify opportunities for AI, translate business needs into technical solutions, and guide end-to-end AI adoption—from strategy to deployment.Key ResponsibilitiesPartner with clients to understand business challenges and identify AI use casesDesign AI strategies aligned with organizational goals and data maturityEvaluate, select, and implement AI/ML models and tools (e.g., predictive models, NLP, computer vision, generative AI)Translate complex technical concepts into clear, actionable insights for non-technical stakeholdersCollaborate with data scientists, engineers, and product teams to deliver solutionsSupport data preparation, model validation, and performance evaluationAdvise on AI governance, ethics, privacy, and responsible AI practicesTrain client teams and support change management during AI adoptionStay current with emerging AI technologies, tools, and industry trendsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field3+ years of experience in AI, machine learning, data science, or analytics (consulting experience preferred)Strong understanding of ML algorithms, model lifecycle, and data pipelinesExperience with Python, R, SQL, or similar toolsFamiliarity with cloud platforms (AWS, Azure, or GCP) and AI servicesExcellent communication and stakeholder management skillsAbility to balance technical depth with business practicalityPreferred QualificationsExperience deploying AI solutions in production environmentsKnowledge of generative AI, LLMs, and prompt engineeringExperience in a specific industry (e.g., finance, healthcare, retail, manufacturing)Consulting, advisory, or client-facing experienceUnderstanding of AI governance, compliance, and ethical AI frameworksKey SkillsAI & Machine LearningData Analysis & ModelingBusiness Process OptimizationStrategic ThinkingClient Consulting & PresentationProblem SolvingCross-functional CollaborationWhat We OfferOpportunity to work on cutting-edge AI projectsExposure to diverse industries and business challengesCompetitive compensation and benefitsContinuous learning and professional developmentCollaborative and innovative work environment Show more Show less

About Emirates NBDEmirates NBD is a market leader across the MENAT (Middle East, North Africa and Türkiye) region with a presence in 13 countries, serving over 20 million customers. The Emirates NBD Group has a total of 853 branches and 4,213 ATMs / SDMs. Emirates NBD is the leading financial services brand in the UAE with a Brand value of USD 3.89 billion.At the bank, we serve our customers and help them realize their financial objectives through a range of banking products and services including retail banking, corporate & institutional banking, Islamic banking, investment banking, private banking, asset management, global markets and treasury, and brokerage operations.We are a key participant in the global digital banking industry, with 97% of all financial transactions and requests conducted outside of our branches. We also operate Liv, the lifestyle digital bank by Emirates NBD. With close to half a million users, it continues to be the fastest-growing digital bank in the region.What You Will Be DoingThe role is responsible for driving the planning, design, and execution of transformation and digitization initiatives across Compliance OperationsSuccessfully execute & coordinate high priority projects for Emirates NBD ServicesSupport process optimization, automation, regulatory alignment, and AI transformation programs related to AML, Sanctions, FCC Operations, Governance, and overall Compliance risk management.Partners closely with Group Compliance, Compliance Operations, Group Governance, Technology, Digital, and key business units to ensure effective delivery of tactical and strategic projects.Identify inefficiencies and areas for automation across AML, Sanctions Screening, KYC, CDD, Transaction Monitoring, and Regulatory Reporting.Support the design, execution, and monitoring of major Compliance transformation initiatives.Work with stakeholders to streamline workflows, reduce manual processes, and enhance control effectiveness and operational efficiencies.Support adoption of AI/ML, analytics, and digital tools for FCC enhancements.Ensure project documentation, change processes, and controls adhere to internal and regulatory standard.Facilitate workshops, working groups, and regular review meetings with stakeholders.Provide clear progress reporting, risk / issue updates, and recommendations.Drive continuous improvement culture across FCC / Compliance.What We are Looking forMinimum 6-10 years of relevant work experience in Regulatory and FCC TransformationHands-on experience in Compliance process optimization, project management, or system enhancements.Exposure to technologies such as screening engines (Firco), TM systems (Actimize, SAS), Case Management Tools, Data Analytics etc.Prior experience in a UAE Banking or Financial services Compliance environmentStrong understanding of AML/CFT, Sanctions, and broader compliance frameworks.What We Offer YouCompetitive salary package.Strong emphasis on work-life balance and employee wellbeing.Access to world-class Learning & Development platforms for career growth.Generous annual leave and comprehensive Private Healthcare coverage.Preferential banking facilities for employees.Why Join UsAt Emirates NBD Services, we aim to be the employer of choice by helping you unlock your true potential through the right opportunities. We are reimagining the future of work to ensure every employee thrives in an environment that promotes growth, upskilling, and the development of digital skills. Our goal is to empower our employees to build meaningful careers with experiences that shape their future and contribute to Emirates NBD's success. Regardless of your background, location, or preferences, we want every employee to feel connected and engaged as part of the Emirates NBD services team. Show more Show less

About us:Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.About the Client:Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.Position OverviewSeeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.Key Responsibilities Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow. Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes. Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction. Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards)RequirementsBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related fieldSenior Data Scientist: 4-5 years of hands-on experience in data science roles, with proven ability to mentor junior team membersFluency in Arabic and EnglishSkills And Expertise Strong analytical and problem-solving mindset Deep expertise in machine learning algorithms and statistical methods Practical experience with deep learning architectures and techniques Proficient in Python and SQL for data manipulation, analysis, and model development Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting Experience with time series analysis using ARIMA, LSTM, and Prophet Familiarity with clustering techniques like k-means, and Gaussian Mixture Models Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost Strong communication skills to present technical concepts to both technical and non-technical audiences Ability to work collaboratively in cross-functional teams Self-driven, highly organized, and capable of handling multiple projects simultaneously Commitment to continuous learning and staying updated with advancements in data science and AIBenefitsAttractive, market-leading salary packageClear career advancement path with professional development opportunitiesOne-year contract with Xenon7, presenting a significant opportunity for renewal Show more Show less

🌟 About Miral ExperiencesAt Miral Experiences, we create world-class immersive destinations and experiences that inspire millions of guests each year. We are expanding our AI & Data capabilities to drive digital transformation, innovation, and operational excellence across our portfolio.If you are a visionary AI leader who can define strategy, deliver enterprise-scale AI solutions, and build next-generation AI platforms, this is an exciting opportunity to make a lasting impact.🚀 The RoleWe are looking for an AI Engineer – Director to define and execute our enterprise AI strategy, leading the development of AI Agents, Generative AI, RAG systems, and advanced AI-powered data science platforms utilizing Databricks and large-scale AI architectures. You will collaborate with executives and business teams to drive measurable digital transformation and operational impact.🔧 Key ResponsibilitiesDefine the enterprise AI and AI Agents strategyArchitect scalable AI ecosystems: LLMs, RAG pipelines, vector search, multi-agent systemsOversee advanced AI-driven data science and analytics solutionsLead adoption of Databricks-based AI platformsEstablish AI governance, ethical AI standards, and best practicesPartner with executives to align AI initiatives with business strategyBuild and lead an AI Center of Excellence and innovation roadmapDrive enterprise-wide AI transformation programs✅ Qualifications & ExperienceEducationMaster’s or PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or related fieldExperience12–18+ years in AI, Machine Learning, or Advanced Analytics5+ years in senior leadership or director-level AI rolesExperience leading enterprise AI transformation programs (preferred)🧠 Technical & Leadership SkillsExpert in AI Agents, LLMs, RAG, and fine-tuningStrong experience with Databricks and enterprise AI platformsAdvanced data science leadership and AI architecture designMLOps, scalable AI deployment, and AI governanceExecutive stakeholder management and cross-functional leadershipMulti-agent systems and autonomous AI workflowsLarge-scale digital and AI transformation experience🌱 Behavioral CompetenciesVisionary leadership in AI and innovationExecutive communication and influenceStrategic and business-oriented mindsetChange management and transformational leadershipStrong ownership and accountability📩 Ready to lead the future of AI at Miral Experiences? Apply now or contact our Talent Acquisition team to learn more. Show more Show less

DeepLight AI is a specialist AI and data consultancy renowned for implementing high-impact intelligent enterprise systems, particularly within Financial Services and Banking. We are seeking an exceptional Senior Scrum Master / AI Project Lead to drive the successful delivery of our most complex AI and data science solutions for our global client base.This pivotal role requires a seasoned leader who can seamlessly blend strong technical understanding of the AI/ML lifecycle with exceptional project management and business acumen. Your success is key to DeepLight's growth.The Scrum Master drives delivery success by overseeing complex AI and data science projects from inception through deployment. You will lead cross-functional teams (Data Scientists, ML Engineers, and business stakeholders) to ensure high-impact AI solutions are delivered within scope, budget, and timeline, specifically navigating the unique challenges of AI implementation.Responsibilities in this role include:Project Leadership: Lead and manage multiple concurrent Data, AI, and Mobile Internet Banking projects across the entire lifecycleMethodology Expert: Establish and implement flexible project management methodologies, effectively combining Agile (Scrum) principles with traditional planning to suit complex AI development needsRisk & Governance: Proactively identify and mitigate project risks unique to AI (data quality, model performance, ethical considerations, and regulatory compliance)Stakeholder Alignment: Facilitate communication between technical teams and senior business stakeholders, clearly communicating delivery updates and guiding expectations regarding AI capabilities and limitationsFinancial Control: Manage large project budgets and resource allocation across teams. Process Excellence: Lead all Scrum ceremonies (planning, retrospectives), maintain comprehensive documentation, and monitor project KPIs for executive-level reportingRequirementsWe are looking for a certified leader with a proven track record of delivery in the data and AI space.Essential Capabilities:Experience within the banking/financial services industrySignificant demonstrable experience (7+ years) managing complex technology projects, with demonstrable success in delivering enterprise-scale machine learning or data science projectsStrong functional understanding of the complete AI/ML development lifecycle, from data preparation and model development to deployment and MLOpsProven experience with both Agile (Scrum Master proficiency) and traditional project management methodologiesDemonstrated experience managing budgets exceeding $1M and leading large, cross-functional, and often geographically distributed teamsSolid understanding of data privacy, security requirements, and experience with AI governance frameworks and responsible AI best practicesOutstanding leadership, communication, and problem-solving skills with a proven ability to manage complex stakeholder expectationsExcellent knowledge of project management tools (e.g., Jira, Microsoft Project, Azure DevOps)Desirable Attributes:Professional certifications such as PMP, PRINCE2, or Agile certifications (CSM/PSM)Master's degree in a relevant technical or business fieldExperience coaching and mentoring junior team membersBenefitsBenefits & Growth Opportunities: Competitive salary and performance bonuses Comprehensive health insurance Professional development and certification support Opportunity to work on cutting-edge AI projects International exposure and travel opportunities Flexible working arrangements Career advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. Show more Show less

We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions—from data ingestion and model training to deployment and monitoring—with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.Experience7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects.Technical Skills Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch. Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift). Familiarity with GPU acceleration (e.g., NVIDIA CUDA). Exposure to MLOps tools for continuous integration and deployment. Strong understanding of data engineering concepts (ETL, data pipelines, data preparation). Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.Soft Skills Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions. Strong communication and collaboration abilities to work effectively with cross-functional teams. Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences. Show more Show less

Location: Barcelona, Spain (Hybrid)Contract: PermanentStart: Immediate / ASAP preferredWhiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.Whiteshield's AI Economics Unit sits at the intersection of economic policy, data engineering, and applied AI. We design and deploy tools that help public-sector leaders understand economic systems, monitor outcomes, allocate budgets, and simulate policy scenarios using advanced analytics and machine learning.As a Front-End Developer in Whiteshield's AI Economics Unit, you will build and ship modern, high-performance user experiences for data-intensive policy platforms. You will own the implementation of analytical dashboards, decision tools, and workflow-driven interfaces, collaborating closely with product, design, economists, and backend engineers to translate complex policy concepts into clear, reliable, and elegant front-end experiences.A key part of the role is building robust integrations with API-driven backends, including clean data-binding patterns, resilient asynchronous UX, and strong contract alignment with teams publishing OpenAPI/Swagger documentation. You will also contribute to a new generation of chat-enabled and AI-assisted product experiences, where conversational interfaces support exploration, explanation, and guided workflows on top of structured policy data.Overview: Front end: Next.js, React, TypeScript, modern CSS (TailwindCSS or equivalent) Backend integration: Python APIs (FastAPI) documented via Swagger/OpenAPI Data layer: PostgreSQL, SQL-based analytics surfaces DevOps: Docker-first development, Azure DevOps CI/CD pipelines Nice-to-have: Mapbox/MapLibre for geospatial UX, .NET/C# exposure for middleware contextsTypical initiatives include: Interactive dashboards and decision platforms for ministries and public entities Data-driven interfaces built on administrative and alternative data sources Policy indices, forecasting models, and scenario simulators AI-enabled workflows, including LLM-assisted insights, with strong governance and securityWhat you will do: Build high-quality front ends using Next.js and React, delivering responsive, accessible, and maintainable UI components Implement modern React patterns including hooks, composable components, and predictable state management Translate Figma designs into pixel-accurate, production-ready UI with consistent spacing, typography, and interaction design Integrate front-end applications with backend services through well-structured API bindings, including data fetching, caching, pagination, and robust error handling Work effectively with Swagger/OpenAPI contracts, collaborating with backend teams to ensure consistent schemas, versioning, and predictable payloads Contribute to chat-enabled interfaces and AI-assisted UX patterns, including streaming responses, conversation state management, and tool/action-driven UI flows where relevant Ensure strong performance across data-heavy screens through rendering optimization, code splitting, and sensible loading strategies Contribute to a Docker-first workflow for local development and environment parity Work within Azure DevOps, with familiarity expected for pipelines, build/release processes, and standard CI/CD practices Uphold engineering standards through code reviews, testing practices, and clear documentationRequirements 2 to 5 years of professional experience delivering front-end applications in production environments Strong proficiency with React and Next.js, including modern routing patterns and core rendering concepts Solid experience using React hooks and building reusable component abstractions Proven experience integrating and binding to REST APIs, including authentication flows, request lifecycle management, and resilient UI states Practical familiarity with Swagger/OpenAPI as a basis for integration and contract-driven development Excellent CSS and layout skills with a strong grasp of responsive design and accessibility fundamentals Demonstrated ability to translate Figma designs into accurate, high-quality UI implementations Hands-on experience with Docker for local development workflows Working familiarity with Azure DevOps and DevOps pipelines, including CI/CD concepts and practical usage Fluency in English; Spanish and Arabic are assetsNice to have: Experience with chat-enabled applications, conversational UX patterns, and real-time UI behaviors such as streaming and event-driven updates Familiarity with mapping and geospatial front ends, including Mapbox, MapLibre, or similar libraries Experience building analytical interfaces with charts, tables, filters, and drill-down navigation Comfort with TypeScript-first codebases and component libraries/design systems Exposure to monitoring and instrumentation for user behavior and performance in front-end applicationsBenefitsEqual Opportunity and Inclusion: We are committed to an inclusive workplace where diverse perspectives are valued.Impact at Scale: Build products that support high-stakes public-sector decision-making and economic policy delivery.High Ownership Environment: Take meaningful responsibility in a fast-moving unit with strong engineering standards.Hybrid Flexibility: A working model designed to support sustainable delivery and high performance.Growth and Recognition: We support development through mentorship, challenging work, and clear progression opportunities.Submit your CV and, if available, links to relevant work such as GitHub, a portfolio, or shipped products. Shortlisted candidates will complete a structured technical interview focused on Next.js/React fundamentals, UI engineering judgment, API integration discipline, and practical delivery against real product constraints Show more Show less

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.Your impactRole OverviewWe are seeking a motivated Graduate Software & Data Analyst to join our team. This role is ideal for Computer Science fresh graduates who have a strong foundation in software development, data analysis, and modern web technologies. You will work on building data-driven applications, dashboards, and intelligent solutions using tools such as React, Python, AI/ML libraries, and Microsoft Power Platform.Key ResponsibilitiesAnalyze and process structured and unstructured data to extract actionable insightsDesign and develop interactive dashboards and reports using Power BI or similar toolsBuild and maintain web-based applications or components using React, JavaScript, or related frameworksAssist in developing automation workflows and low-code applications using Power Platform (Power Apps, Power Automate)Apply basic AI/ML techniques (data preprocessing, model training, evaluation) for analytics or automation use casesCollaborate with business and technical stakeholders to gather requirements and deliver scalable solutionsEnsure data accuracy, code quality, and proper documentation of applications and processesHere's what you'll needRequired QualificationsBachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Analytics, or related field. (Non-Computer Science graduates with strong analytical and development skills are welcome.)Good understanding of programming concepts (e.g., Python, JavaScript, or similar).Ability to design and develop simple applications or scripts.Strong analytical and problem-solving skills.Good communication and teamwork abilities.Good-to-Have SkillsExperience with Power BI and data visualization.Exposure to Power Platform components (Power Apps, Power Automate).Knowledge of databases and data modeling.Hands-on experience through academic projects, internships, or personal projects.Familiarity with APIs and integration concepts.From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support. Show more Show less

About SteerAISteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.Role OverviewWe are looking for a Perception Engineer to join our GROUND Robotics team. In this role, you will be primarily responsible for maintaining and evolving the perception module of SteerAI’s CoreX autonomy stack, which supports autonomous mission execution across diverse platforms.Key ResponsibilitiesMaintain and improve CoreX’s perception module, including capabilities such as object detection, semantic segmentation, multi-object tracking, LiDAR-based terrain understanding.Extend and adapt the perception system for new robotics platforms and deployment scenarios.Develop clean, modular, and efficient C++ code aligned with industry best practices and ROS1/ROS2 standards.Collaborate closely with localization, planning, and controls teams to ensure seamless system integration and performance.Conduct field testing and iterative tuning of perception features under real-world conditions.Contribute to code reviews and maintain detailed technical documentation for system components.Qualifications Bachelor’s or Master's degree in Robotics, Computer Vision, or a related field.4+ years of experience in real-time perception or computer vision systems.Strong programming skills in C++, with hands-on experience in ROS1 or ROS2-based systems.Proficiency with common perception libraries and frameworks such as OpenCV, PCL, Open3D, PyTorch, and TensorRT.Practical experience with sensor calibration, obstacle detection, LiDAR filtering, and related perception tasks.Familiarity with multiple sensor modalities including LiDAR, monocular/stereo cameras.Experience using modern development tools and workflows (e.g., Git, Docker, Jenkins).Exposure to off-road or unstructured terrain perception challenges.Familiarity with traditional perception techniques, alongside deep learning-based methods including dataset preparation, model development, and deployment; experience with transformer-based approaches is a plus. Hands-on experience with ARM64-based edge devices such as the NVIDIA Jetson familyStrong communication skills, capable of effectively explaining complex idea.Able to work independently and as part of a fast-paced, mission-driven team.Proactive mindset with a willingness to pivot between different parts of the perception stack when needed.What We OfferWe provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.Join us to drive innovation and shape the future of technology! Show more Show less

Job Description As a Python / Computer Vision Developer, you will be responsible for the design, development, and implementation of innovative computer vision and AI-based solutions in the logistics and automation domain. The primary role will include developing and optimizing algorithms for object detection, recognition, tracking, and OCR/ANPR using Python and modern deep learningframeworks. Responsibilities include designing, coding, testing, debugging, and documenting programs as well as supporting activities aligned with corporate AI/ML and systems architecture. You will ensure support in analysis, model design, and system integration during all phases of solution delivery, including recommending the most effective approaches for deployment and scalability. Your tasks will also include working on new research concepts, training pipelines, and AI model deployment across real-time video streams and edge/cloud environments. Typically requires 5–7 years of applicable experience in Python, machine learning, and computer vision, with hands-on exposure to frameworks such as OpenCV, PyTorch,TensorFlow, or PaddleOCR/YOLO.Skill Requirements Strong proficiency in Python (3.x) with focus on AI/ML and computer vision development. Solid experience with OpenCV and at least one major deep learning framework:PyTorch, TensorFlow, Keras, or PaddlePaddle. Hands-on experience with object detection models (YOLO, Faster R-CNN, SSD, etc.) and OCR frameworks (e.g., PaddleOCR, Tesseract). Experience with real-time video/image processing (RTSP streams, edge devices, GPU acceleration). Good knowledge of data preprocessing, augmentation, and annotation tools (LabelImg, PPOCRLabel, CVAT). Familiarity with containerization (Docker), APIs, and cloud platforms (Azure, AWS, GCP) for model deployment. Understanding of SQL/NoSQL databases for storing and retrieving processed data. Knowledge of Git, CI/CD pipelines, and Agile methodologies. Show more Show less

Join Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.Innovate with TetherTether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.But that’s just the beginning:Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.Why Join Us?Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.Are you ready to be part of the future?About The JobAs a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.ResponsibilitiesDevelop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.Important information for candidatesRecruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.ioWe will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.When in doubt, feel free to reach out through our official website. Show more Show less

Job OverviewWe are looking for an experienced AI Specialist with a strong focus on Generative AI (GenAI) to drive innovation and AI adoption across our organization. This role will identify high-value GenAI use cases, advise departments on AI-driven solutions, lead AI projects, and stay at the forefront of emerging GenAI technologies. The ideal candidate will have deep expertise in large language models (LLMs), generative AI frameworks, multimodal AI, and AI automation, along with the ability to translate these into practical business applications that enhance efficiency, creativity, and decision-making.You will collaborate with cross-functional teams to develop and integrate AI-powered solutions that optimize operations, enhance customer engagement, and unlock new growth opportunities.Qualifications & RequirementsEducation & Experience:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.3+ years of experience in AI, machine learning, or natural language processing (NLP).Proven experience working with LLMs, text-to-image models, and generative AI applications.Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.Technical SkillsProficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).Soft Skills & CompetenciesStrong analytical and problem-solving skills with a business-oriented AI mindset.Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.Ability to drive AI adoption and manage change across teams.Project management skills with experience in leading AI initiatives across an organization.Preferred QualificationsCertifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.Experience with multi-agent AI systems, self-learning models, and real-time AI applications. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Role OverviewOne of our clients is seeking adaptable and detail-oriented professionals to support a large-scale AI research initiative. This project focuses on creating, evaluating, and refining high-quality task datasets used to improve advanced language models and AI-driven systems. The role is project-based and ideal for individuals with strong analytical reasoning, research skills, and writing abilities.What You’ll DoCreate structured prompts across a broad range of general-interest and analytical topics Review, edit, and refine AI-generated responses for clarity, factual accuracy, coherence, and logical consistency Develop iterative prompt-response variations by adjusting tone, structure, formatting, or constraints Identify weaknesses, edge cases, and failure points in model outputs to support benchmarking and evaluation efforts Apply consistent quality standards across multiple content formats, including summaries, Q&A tasks, analytical writing, and instructional content Required QualificationsAt least 2 years of experience in research, education, writing, editing, analysis, or a related field Strong ability to communicate complex ideas clearly, concisely, and accurately Excellent attention to detail and critical-thinking skills Comfortable working independently with evolving guidelines and feedback Nice to HaveFamiliarity with large language models (LLMs) or AI-assisted writing tools Experience with structured content creation, evaluation frameworks, or quality assurance processes Work DetailsIndependent contractor engagement Fully remote and asynchronous work environment Expected availability of 10–25 hours per week Project duration of approximately 2 weeks, with potential extension based on project needs Work delivered through batch-based task assignments CompensationCompensation based on scope, experience, and performance Performance-based incentives may be available Paid weekly Hiring ProcessApplicants will submit a resume or professional profile and complete a brief intake form outlining relevant experience. A short, skills-based evaluation may be used to assess role-related capabilities. Automated tools may be utilized during the assessment process in accordance with applicable data protection and privacy regulations.Equal OpportunityOne of our clients is an equal opportunity organization. Reasonable accommodations are available upon request. Show more Show less

Role OverviewOne of our clients is seeking adaptable and detail-oriented professionals to support a large-scale AI research initiative. This project focuses on creating, evaluating, and refining high-quality task datasets used to improve advanced language models and AI-driven systems. The role is project-based and ideal for individuals with strong analytical reasoning, research skills, and writing abilities.What You’ll DoCreate structured prompts across a broad range of general-interest and analytical topics Review, edit, and refine AI-generated responses for clarity, factual accuracy, coherence, and logical consistency Develop iterative prompt-response variations by adjusting tone, structure, formatting, or constraints Identify weaknesses, edge cases, and failure points in model outputs to support benchmarking and evaluation efforts Apply consistent quality standards across multiple content formats, including summaries, Q&A tasks, analytical writing, and instructional content Required QualificationsAt least 2 years of experience in research, education, writing, editing, analysis, or a related field Strong ability to communicate complex ideas clearly, concisely, and accurately Excellent attention to detail and critical-thinking skills Comfortable working independently with evolving guidelines and feedback Nice to HaveFamiliarity with large language models (LLMs) or AI-assisted writing tools Experience with structured content creation, evaluation frameworks, or quality assurance processes Work DetailsIndependent contractor engagement Fully remote and asynchronous work environment Expected availability of 10–25 hours per week Project duration of approximately 2 weeks, with potential extension based on project needs Work delivered through batch-based task assignments CompensationCompensation based on scope, experience, and performance Performance-based incentives may be available Paid weekly Hiring ProcessApplicants will submit a resume or professional profile and complete a brief intake form outlining relevant experience. A short, skills-based evaluation may be used to assess role-related capabilities. Automated tools may be utilized during the assessment process in accordance with applicable data protection and privacy regulations.Equal OpportunityOne of our clients is an equal opportunity organization. Reasonable accommodations are available upon request. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

We are looking for a Vice President of AI to lead the design, delivery, and scale-up of AI at a enterprise organisation here in Dubai.Open to international talent - relocation available!This role is for a builder, not a theorist - someone who has taken AI use cases from proof of concept through to real, operational deployment, with measurable business impact.What you’ll doDefine and execute the enterprise AI roadmapIdentify and prioritise high-impact AI use casesLead AI initiatives from POC to productionDesign and deploy Agentic AI systems that automate workflows and support decision-makingLead AI product and engineering teamsValidate ROI and ensure AI delivers tangible business valueWhat we’re looking forSenior leadership experience in AI, data, or advanced digital rolesProven experience delivering AI solutions end-to-end (POC → deployment)Hands-on experience with Agentic AI architecturesStrong product and engineering leadership capabilityCommercial mindset with a focus on outcomes and ROIBackground can be B2B or B2C - impact matters more than industry.Why this roleSenior mandate with real ownershipAbility to shape AI at enterprise scaleFocus on delivery, not experimentationHigh visibility and business impact Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: perform manual segmentation of medical images; critically appraisal research findings; describe and justify results of statistical analysis, discuss study results with recent literature.Minimum QualificationMS/PhD degree in relevant sphere of studies will be of advantage basic knowledge of medical and biological statistics, - good writing skills in Academic English, - experience in conducting medical and/or biological studies,Preferred QualificationAs aboveExpected SkillsCommunicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.28/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Job Title: AI/ML EngineerJob SummaryWe are seeking an AI/ML Engineer with strong fundamentals in machine learning and hands-on experience in building and deploying scalable models. The role involves data preprocessing, model development, and working closely with cross-functional teams to deliver ML-driven solutions.Key RequirementsB.Tech in Computer Science / Information TechnologyStrong proficiency in Python and SQLHands-on experience with ML frameworks such as TensorFlow or PyTorchExperience in data preprocessing, feature engineering, and model trainingAbility to develop and scale machine learning models for production useKey ExperienceData preprocessing and scalable model development Show more Show less

DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.About MBZUAI – A Global Leader in AI Research and EducationMBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutionsFunding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.Exceptional Benefits:Comprehensive health & life insuranceRelocation support for international facultyState-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computingLive in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenitiesIndustry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakersQualificationsThis position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.Application InstructionsTo Apply For This Position, Please Submit The FollowingCover letterCurriculum VitaeStatement of research vision and interestsStatement of teaching philosophy and experienceList of publicationsReference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.Be a part of AI’s future – apply today at MBZUAI!#MBZUAI #careeropportunities #AIEqual Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability. Show more Show less

About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office Show more Show less

About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.Our shared values guide the way we behave to make a positive, enduring impact:During your tenure as a Business Analyst, you will demonstrate and develop your capabilities in the following areas:Team with others to produce high quality deliverables to ensure superior client experienceCollect, assimilate, and analyze relevant data and use standard processes and tools to help surface and support solutionsUnderstand basic financial concepts and able to research and find financial and business performance informationConduct in depth research and benchmarking analysis to provide clients and team with insights on best practices and bring forward potential solutionsApply structured thinking and frameworks to organize concepts, identify gaps, and communicate ideas clearly to team members Find and leverage a diverse set of resources that can provide team with insights and potential solutions and share findings with othersPresent an approachable and professional style while engaging and communicating with others in an effort to build lasting relationships across clients and teamsValue and consider the diverse perspectives and backgrounds of colleagues and clientsApply technology fundamentals to client situations and demonstrate basic understanding of new and emerging technologies such as Robotic Process Automation (“RPA”), Artificial Intelligence (“AI”), IoT, Blockchain and cloudUnderstand how a business operates and support in the development and/ or improvement of business processesLeadership CapabilitiesBuild own understanding of our purpose and values while exploring opportunities for impactDemonstrate strong commitment to personal learning and development; act as a brand ambassador to help attract top talentUnderstand expectations and demonstrate personal accountability for keeping performance on trackDemonstrate ability to own work and deliverables efficiently with minimum supervisionActively focus on developing effective communication and relationship-building skills internally and with clients Seek ways to provide informal coaching and guidance to peers and share knowledge and skills with wider audiencesRequired majorsIndustrial engineering, Electronics engineering, Economics, Systems Engineering , Computer engineering, Software engineering, Computer Science, Management Information Systems, IT, Finance, Business Administration, Data, Analytics, Machine Learning, Business Administration, Information Systems, Business Management, Artificial Intelligence, Strategic Management, Business Strategy, Motion or Graphic Design, HR, Management, Administration, Industrial Engineering, Marketing and System Engineering, Finance, Accounting, Mechanical Engineering, Financial Engineering, Language & translation and MathQualifications And Technical CapabilitiesBased in the UAE – UAE NationalUndergraduate degreeMBA or a relevant master’s degree or certificate is a plusFluency in written and spoken English, Arabic is a plusExcellent knowledge in MS office applications especially in PowerPoint, Word and ExcelExcellent communication and people skills, with a strong emphasis on team workingAbility to operate and understand excellent project and program management disciplines including production of project plans and key quality program deliverablesStrong administrative and numeracy skills and ability to analyze complex data with good attention to detailsAbility to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hoursWillingness to travel (required) Show more Show less

Who We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.We Are BCG XWe’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.What You'll DoOur BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.Our AI Software Engineers and Senior AI Software Engineers are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.We Are Looking For Dedicated Individuals With a Passion For Software Development, Large-scale Data Analytics And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development process Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topicsWhat You'll BringTechnologiesProgramming Languages: Python#BCGXjobBoston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.21/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: 1. Preprocessing of medical images: de-identifying the images, data preparation and denoising of the diagnostics images, 2D and 3D data scaling and normalization, the development of image data loaders in PyTorch or its analogs, the preprocessing of numerical and textual data in the images, replacing/removing missing values; testing the data for outliers, finding duplicated or highly correlated features; applying masks of the studied organ to the diagnostic images, 2. Running classification, detection, and segmentation tasks (with 3DSlicer, CAT12, etc.). 3. Preparing analytics over the preprocessed dataset: checking whether the dataset is versatile enough for different ML approaches; finding correlations between different features; running feature selection algorithms to find the most informative data sources (numerical vs. images) 4. Building up regression and classification models and estimating their performance metrics: preparing a data visualization module for the qualitative and quantitative quality validation, training a deep convolutional neural net to get predictions based on 2D and 3D data, training models with spatial attention (standard and self-attention) to focus on the most valuable parts of 2D and 3D data, trying classical non-neural approaches (e.g. gradient boosting) to get predictions based on the whole dataset, adding functions for calculating ROC-AUC, error rate, precision, recall, sensitivity, specificity. 5. Applying deep learning-based architectures to analyze visual data in different variant: convolutional NN for classification tasks, single stage or multistage DLL detection systems, generative adversarial networks (GAN) for super-resolution and reconstruction, recurrent neural networks for automatic report generation.Minimum Qualification Knowledge of working with Big Data platforms and developing data mining models and analytics solutions Programming experience particularly in Python and R Experience in developing advanced machine learning models (e.g. deep learning, NLP, Computer Vision) Proven experience in related technology such as cloud computing, distributed systems, Hadoop, Spark, MapReduce, visualization tools (e.g. Power BI), etc. Experience with data visualization and reporting (e.g. Power BI)Preferred QualificationMS/PhD degree in relevant sphere of studies will be of advantageExpected Skills Communicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.31/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.ResponsibilitiesOwn the AI engineering roadmap and lead the development of AI-first featuresProductionize ML models, ensuring scalability, performance, and observabilityDesign the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)Build systems that integrate AI into key parts of our stack, such as:Forecasting customer demand and renewable generationDynamic pricing and energy trading algorithmsIntelligent alerts and personalized customer featuresWork closely with product and engineering leadership to identify high-impact AI opportunitiesBuild and lead a high-performing team of AI engineersRequirementsStrong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teamsDeep experience deploying ML models into production environmentsProficiency in designing scalable data pipelines and real-time inference systemsUnderstanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)Strong cross-functional collaboration skills, particularly with data science and product teamsClear communication and an ability to prioritize for both experimentation and reliabilityBonusFamiliarity with optimization, time series modeling, or forecastingExperience with large language models (LLMs), RAG, or generative AI in productionBackground in MLOps or AI infrastructure at scaleBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less

About the CompanyCareem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.About The RoleThe Director of Data Science (ML) leads Careem’s central Machine Learning and Data Science organization — a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem’s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.What You'll Do1. Strategic LeadershipDefine and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.Evangelize AI across the company, ensuring alignment between AI investments and Careem’s overall strategic priorities.2. Team Leadership & DevelopmentBuild, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.Foster a culture of inclusion, experimentation, and excellence — empowering teams to take ownership and innovate.Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.3. Technical & Operational ExcellenceOversee the design, development, and deployment of end-to-end ML systems — from data collection and feature engineering to productionized models and monitoring.Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.Define and oversee the technical AI roadmap and direction for the team.Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.Champion MLOps and automation to reduce experimentation-to-production cycle time.4. Product Impact & DeliveryEnsure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.Champion a data-driven culture across Careem — ensuring insights and experimentation inform every product and business decision.5. Cross-Functional InfluenceRepresent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.What You'll Need10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).Advanced degree in Computer Science, Machine Learning, or related field.Demonstrated ability to translate complex ML concepts into strategic business impact.Strong stakeholder management and communication skills across technical and non-technical domains.Deep passion for product-oriented AI — using data and ML to create delightful, human-centered experiences.What We’ll Provide YouWe offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:Work and learn from great minds by joining a community of inspiring colleagues.Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.Explore new opportunities to learn and grow every day.Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes. Show more Show less

Job Title: Director - Digital Transformation Services (DTS) SectorLocation: Cairo, Egypt (Onsite)Experience: 18+ yearsRole PurposeDirector of Digital Transformation Services (DTS) responsible for strategic growth, delivery and operational excellence of DTS sector. This role involves orchestrating holistic digital transformation for clients by integrating capabilities across DTS pillars Digital Experience, Digital Delivery, Digital Operations, and Data Analytics while effectively leveraging AI and data intelligence. The ideal candidate is required to translate business vision into market-leading services, building teams to deliver excellence and deliver measurable impact.Key ResponsibilitiesDelivery Excellence & Technical AssuranceProvide overall leadership and oversight of projects delivery to ensure timely, accurate, compliant, and high-quality outputs across all disciplines.Ensure projects are delivered in accordance with approved scope, schedule, budget, safety, and quality standards, fully meeting contractual obligations and client expectations. Establish, implement, and continuously enhance delivery frameworks, operating policies, and delivery playbooks across departments.Define and enforce technical assurance and quality control processes, including peer reviews, stage-gate approvals, independent checks, audits, and design/delivery assurance.Strengthen programme and portfolio governance, including schedule management, cost control, risk management, change management, and project controls for large and complex portfolios.Ensure timely and accurate submission of all technical deliverables, reports, designs, and contractual documents.Monitor delivery performance through defined KPIs, addressing performance gaps and delivery risks proactively.Institutionalize lessons learned, knowledge management, and technical communities of practice to drive continuous improvement and repeatable delivery excellence.AI Transformation & Digital Engineering ExcellenceDefine and drive the strategic roadmap for software engineering practices, embedding modern methodologies and AI-powered toolchains.Develop and implement policies mandating the use of latest AI tools, including agentic AI to enhance productivity, code quality and delivery speed.Drive continuous upskilling of engineering teams, fostering proficiency in leveraging AI tools for competitive advantage.Evaluate emerging AI engineering technologies, piloting and scaling those demonstrating tangible business value.Collaborate with the Centre of Excellence (CoE) to integrate AI research into mainstream software delivery practices.Service Diversification and Product Development (Aligned with Core Domain)Expand business offerings within core domain by developing new advisory and delivery services in response to market demand and client priorities.Establish and lead service development roadmaps, including scope definitions, delivery models, capability requirements, quality standards, and go-to-market readiness.Stakeholder Management and RepresentationAct as senior executive interface for key clients, building trusted and enduring relationships with executives and decision-maker levels. Represent Tatweer in executive steering committees, governance boards, and strategic forums, ensuring alignment with client objectives.Manage critical internal and external stakeholders, including government entities, semi-government clients, private sector partners, and delivery stakeholders.Ensure consistent, professional, and value-led representation across all client engagements and public-facing platforms.Lead resolution of high-impact client issues and escalations, safeguarding client satisfaction and long-term relationships.Establish structured client governance mechanisms (e.g., quarterly business reviews, executive reporting, escalation pathways, and action tracking) to improve transparency, responsiveness, and trust.Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.Leadership, Team Alignment, and Capability BuildingBuild, lead, and develop a high-performing leadership team, ensuring clear accountability and effective delegation across disciplines.Drive talent acquisition, workforce planning, capability development, and succession planning aligned with current and future business requirements.Foster a performance-driven culture emphasizes accountability, collaboration, coaching, and continuous professional development.Promote innovation, continuous improvement, and adoption of leading practices in core domain. Ensure leadership behaviors align with corporate values, ethical standards, and governance expectations.Strengthen alignment and collaboration across departments through shared goals, integrated planning cycles, and consistent performance expectations.Enhance team cohesion by establishing clear operating rhythms, effective cross-functional coordination, and a culture of ownership, mutual support, and constructive challenge.Strengthen coordination with corporate functions to ensure seamless execution and a unified service experience for clients.Financial Performance and Commercial GovernanceOwn and manage P&L, including revenue, gross margins, utilization, backlog, forecasting accuracy, and cost control.Monitor and improve financial performance, including working capital, invoicing, cash collection, and profitability across portfolio.Establish pricing strategies and commercial approval governance for bids, proposals, and major contracts.Oversee commercial risk management, contract compliance, change control, claims strategy, and dispute avoidance in collaboration with related Corporate functions.Ensure accurate and timely financial reporting, performance reviews, and executive dashboards.Strengthen commercial discipline across delivery teams to minimize leakage, improve variation capture, and enhance cash conversion.Business Growth Strategy Define and execute growth strategy, aligned with corporate objectives, target markets, and priority sectors.Lead market development and pipeline generation, identifying new opportunities, clients, and sectors across public, semi-government, and private markets.Oversee key account management, ensuring account growth, client retention, and long-term strategic positioning.Lead pursuit strategies for major tenders and complex opportunities, ensuring strong bid governance, compelling win themes, and high-quality, compliant submissions.Improve market visibility and win rates through disciplined participation in tenders, expressions of interest, and strategic proposals.Establish and manage strategic partnerships, joint ventures, subconsultant networks, and delivery ecosystems to expand capability, capacity, and market reach.Identify opportunities for service diversification, cross-selling, and geographic or sector expansion.Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.Qualifications & RequirementsMaster’s degree in information technology, Computer Science, AI, Machine Learning or related field.18+ years of progressive leadership experience in digital consulting, IT services, or technology-led business transformation, with at least 5 years in leadership role.Relevant professional certifications which include PMP, TOGAF, and Cloud Architect.Demonstrated ability to lead multi-disciplinary teams and complex stakeholder environments, including matrix delivery models. 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About the Role:We are seeking a visionary Chief AI Officer to lead our AI strategy, innovation, and implementation across the organization. The ideal candidate will have a strong consultancy background, deep AI expertise across multiple domains, and the ability to bridge business strategy with cutting-edge AI solutions. This is a leadership role that combines technical mastery with strategic thinking and stakeholder management.Key Responsibilities:Strategic Leadership: Define and drive the organization’s AI strategy, aligning AI initiatives with business goals and market opportunities.Innovation & Transformation: Identify AI-driven opportunities across functions (engineering design, procurement, operations, marketing, finance, risk, etc.) and implement transformative solutions.Cross-disciplinary Expertise: Bring deep knowledge of AI/ML, NLP, computer vision, generative AI, reinforcement learning, and other emerging technologies.Consultancy Mindset: Leverage experience in client-facing or advisory roles to assess business challenges, design AI solutions, and communicate impact to executives and stakeholders.Team Leadership & Talent Development: Build, mentor, and lead a high-performing AI team, fostering a culture of innovation and continuous learning.Governance & Ethics: Ensure responsible AI practices, compliance with regulatory standards, and ethical deployment of AI technologies.Collaboration: Work closely with technology, product, and business teams to integrate AI solutions into business processes.Qualifications:Proven experience (10+ years) in AI strategy, AI/ML implementation, or consultancy with a focus on AI solutions.Strong cross-functional knowledge: experience applying AI across multiple industries or business domains.Hands-on experience with AI frameworks, tools, and platforms.Track record of leading complex AI initiatives from concept to deployment.Excellent communication skills: ability to translate technical concepts into business value for executive stakeholders.Strong analytical, problem-solving, and decision-making skills. Show more Show less