AI Jobs in Abu Dhabi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Develop and support implementation of strategies & plans for Digital Oilfields activities in line with Company’s objectivesand priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintainthe DOF Strategy and benchmarks against ADNOC Group of Companies.Design, implement and maintain ADNOC’s Offshore the technical artificial intelligence strategy and data analyticsframework in order to model complex ADNOC Offshore problems and finding opportunities by solving business relatedissues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunitiesthrough the use of algorithms, statistical models and visualization techniquesKEY ACCOUNTABILITIES:Job Specific AccountabilitiesArtificial Intelligence Develop and maintain ADNOC’s Offshore artificial intelligence strategy for the core business and technical domainsrelated to exploration, development and production. Develop and maintain ADNOC’s offshore artificial intelligence guidelines document to provide general guidanceand state the minimum requirements for technical departments and projects. Work closely with discipline engineers and subject matter expertise and others in order to produce systems thatutilize artificial intelligence and capable of adapting or changing based on adding data. Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized,which can be solved or improved by implementing artificial intelligence tools. Conduct regular market surveys and be aware of different technological announcements (advancements) relatedto artificial intelligence and data science. Compare the top ranked technologies by Garner’s and others andevaluate the technology functionality related to oil & gas industry. Develop scalable tools leveraging deep learning models to solve business problems in areas such as voicerecognition, natural language processing and time series predictions. Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a productionlevel artificial intelligence application.Data Science A data scientist capable to model complex problems while realizing ADNOC’s offshore insights and identifyingopportunities through the use of algorithms, statistical models, data mining and visualization techniques. Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.Provide business metrics for the overall project to reflect improvements by periodic monitoring over multipleiterations. Conduct workshops and session to help the technical departments understand the principles and math behind theprocess to drive organizational buy-in and to build multi discipline teams that are capable to define, model andsolve problems related to their domains. Design and launch innovative and complex analytic models and lead the development of big data capabilities andutilization as well as the coordination of cross-functional analytic initiatives. Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate andmaintain predictive models Educate the organization both from IT and the business perspectives on new approaches, such as testinghypotheses and statistical validation of results. Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed usingappropriate data and appropriate analysis tools. Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmicstatistical models as a core. Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects. Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analyticstechnologies to be added to the big data platforms. Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a newteam of Data Scientists.Data Preparation Identify what data is available and relevant, including internal and external data sources, leveraging andautomating new data collection processes. Support in the application of patterns and variations in the volume, speed, variety and other characteristics ofdata supporting the data analytics initiative. Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build modelsrelated to oil and gas business.General Provide input for preparation of the Team / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver team objectives. Investigate and highlight any significant variances to support effective performance and cost control Contribute to the achievement of the approved Performance Objectives for the Team / Department in line withthe Company Performance framework. Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Supervision Plan, supervise and coordinate all activities in the assigned area to meet functional objectives. Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliverthe respective section objectives.Budgets Provide input for preparation of the Section / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver Section objectives. Investigate and highlight any significant variances to support effective performance and cost controlPolicies, Systems, Processes & Procedures Implement approved Section / Department policies, processes, systems, standards and procedures in order tosupport execution of the Section’s / Department work programs in line with Company and International standards.Performance Management Contribute to the achievement of the approved Performance Objectives for the Section / Department in line withthe Company Performance framework.Innovation and Continuous Improvement Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Health, Safety, Environment (HSE) and Sustainability Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelinesin line with international standards, best practices and ADNOC Code of Practices.Reports Provide inputs to prepare Section MIS and progress reports for Company Management.COMMUNICATIONS & WORKING RELATIONSHIPS: Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplinessenior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutionsrequirements acquisitions strategies. Frequent communications with Procurement Divisions for solutions acquisition & MSU contracts. Regular contacts with various other divisions’ personnel to discuss/exchange information and advises on relevantAI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc. Daily interactions with other Specialists. Regular contact with IT representatives. Occasional contact with counterparts in ADNOC and other Group Companies for exchange ofinformation/knowledge, shared projects and project related experience. Regular contact with ADNOC HQ Operations Excellence, R&D and Panorama Unit.External Frequent contact with services providers, consultants, vendors etc.QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:Minimum Qualification Bachelor’s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline.Minimum Experience & Knowledge & Skills Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within theOil & Gas industry. Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN) Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras,Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset. Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau). Experience with data mining and visualization tools. Experience with data preparation (pre-processing, feature engineering and feature selection), model training,application classification, regression. Experience supervised and unsupervised in machine learning algorithms. Experience with data capturing, aggregation, collation and manipulation with large data sets. Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark). Analytical mind, business insight and have strong math and statistics knowledge. Excellent communication and presentation skills. Proficient in English.Professional Certifications International certifications in Project management, Process improvements & Standardisation, and/or Technologyimplementation. 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We are a technology and innovation company headquartered in Abu Dhabi, helping organizations lead confidently in the digital era. By combining cutting-edge AI innovation with enterprise-grade cybersecurity, we enable businesses and governments to transform, scale, and operate securely in an increasingly complex world.We are growing fast — and we are looking for a Technical Delivery Manager who does not just manage projects but leads them. Someone who thrives at the intersection of technology and client impact, who can walk into a room with a C-suite and command credibility, and who genuinely cares about delivering outcomes, not just outputs.This is a senior, high-visibility role. You will own Programs end-to-end — from the moment we respond to an RFP, through delivery, and into managed services. You will advise clients, mentor internal teams, and help shape how we grow as a delivery organization hands on.Requirements10+ years of technical project and program delivery, with a track record of owning complex, multi-workstream engagementsProven experience in implementing GenAI, data, and advanced analytics solutions is required; practical knowledge of the technology is crucial rather than mere theoretical understandingExperience spanning the full engagement lifecycle: RFP response, project delivery, and post-go-live managed servicesProven client-facing experience at senior and executive level - regional stakeholder management is a significant advantageExperience operating in large enterprise or government delivery environments, particularly in sectors such as Energy, Oil & Gas, or Public SectorBackground in multi-vendor delivery environments with complex dependencies and distributed teamsMaster's degree in Computer Science, AI, Software Engineering, Data Science, or a closely related technical fieldYou do not need to be an engineer, but you must be able to hold your own in a technical conversation. We expect strong familiarity with:AI and ML solution delivery - understanding of model development lifecycles, data pipelines, RAG, and agentic AI application architectures. You are in touch with what is happening in the rapidly evolving AI ecosystemCloud-native platforms: Azure, AWS, or GCP — including microservices, containerization, and distributed system designData platforms: data lakes, data warehouses, analytics ecosystems, and data engineering pipelinesAPIs, system integration, and enterprise application architecturesDevOps, CI/CD practices, and modern SDLC methodologiesAgile / Scrum / SAFe and hybrid delivery frameworks; Jira and equivalent tooling. Program Leadership — End to EndOwn the full delivery lifecycle: from RFP response and solutioning through to go-live and post-delivery managed servicesDefine scope, roadmaps, delivery plans, milestones, and governance frameworks from day one of engagementDrive sprint and release planning across distributed engineering, data, and AI teams in Agile and hybrid delivery modelsManage risks, dependencies, budgets, and timelines with rigor - always maintaining meticulous documentation and program controlsEstablish and embed PMO practices, reporting cadences, and delivery metrics across the program you ownClient Advisory & Stakeholder ManagementAct as a trusted advisor to client leadership - translating complex technical delivery into clear, confident, executive-level communicationBuild and sustain strong relationships with senior client and government stakeholders across the UAE and wider Middle East regionLead board-level reporting and steering committee engagement, presenting progress, risks, and strategic recommendations with authorityNavigate multi-vendor and multi-stakeholder environments, aligning competing priorities and maintaining momentumRFP & Pre-Sales ContributionPlay a hands-on role in developing RFP responses and solution proposals - not simply reviewing, but actively writing, structuring, and shaping bidsWork with architecture and technical teams to estimate scope, effort, and delivery approaches for complex AI, data, and platform programsContribute to solution workshops and technical discussions, bringing delivery credibility to pre-sales engagementsAI & Data DeliveryLead delivery of AI and machine learning solutions, data engineering pipelines, analytics platforms, and cloud infrastructure programsCoordinate effectively with data scientists, ML engineers, and platform teams - you do not need to code, but you need to understand deeplyManage delivery across cloud-native (Azure, AWS, GCP) and on-prem environments, microservices architectures, API ecosystems, and CI/CD pipelinesTeam Leadership & MentoringServe as a mentor and coach to internal delivery teams - instilling best practices, building capability, and raising standards across the organizationCoordinate international vendors and distributed teams, ensuring alignment and accountability without direct line authorityFoster a culture of continuous improvement, learning, and delivery excellence within your programs Show more Show less

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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