AI Jobs in Dubai

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

📍 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

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

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

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

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

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

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 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

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

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