Your AI career in the UAE starts here

Job DescriptionThe Research Assistant (RA) will work directly under the supervision of Dr. Osama Sohaib and contribute to the development and implementation of the CultureXAI framework for precision public health in the UAE. The RA will play a central role in key technical components of the project, including machine learning model development, explainable AI (XAI) implementation, open data analysis, and fairness and bias assessment across diverse population groups. The RA will be responsible for data preprocessing and integration from multiple health and demographic sources, designing and evaluating predictive models for non-communicable disease (NCD) risk, and applying XAI techniques (e.g., SHAP, LIME, counterfactual analysis) to generate interpretable and culturally-aware insights. The role also includes supporting the development of a prototype decision-support dashboard for policymakers and healthcare stakeholders. In addition, the RA will contribute to academic dissemination by assisting in the preparation of high-quality research publications (targeting Q1 journals), technical reports, and conference submissions, as well as supporting broader project dissemination activities. The position requires strong analytical, programming, and research capabilities, along with the ability to work effectively in an interdisciplinary research environment.Minimum Qualification PhD in Business Analytics, Statistics, Data Science, Machine Learning, Computer Science, or a closely related quantitative discipline. - Strong foundation in machine learning, data analysis, and statistics - Proficiency in Python (e.g., Pandas, Scikit-learn) - Experience in developing dashboards or web-based applications (e.g., Flask, Streamlit, React)Preferred Qualification PhD in Machine Learning, AI, Data Science, or a related discipline - Prior experience in healthcare analytics, public health data, or applied AI research - Familiarity with explainable AI techniques (e.g., SHAP, LIME, counterfactual methods) - Experience with advanced ML models (e.g., XGBoost, Neural Networks)Expected SkillsExperience: - 1–3 years (RA level) or 3+ years / PhD-level (Research Associate) - Experience working with real-world datasets and applied machine learning projects Technical Skill Set: - Machine learning: supervised/unsupervised learning, model evaluation, hyperparameter tuning - Explainable AI: model interpretability, feature importance, fairness and bias analysis - Programming: Python (required); familiarity with TensorFlow/PyTorch is a plus - Data handling: data cleaning, preprocessing, and multi-source data integration - Visualization: Matplotlib, Seaborn, Plotly, or dashboard tools (e.g., Streamlit, Flask) Research & Soft Skills: - Academic writing and contribution to publications - Literature review and analytical thinking - Ability to work independently and collaboratively in interdisciplinary teamsClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

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

Job PurposeAt Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as an Analytics & Insights Supervisor, and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.As an Analytics & Insights Supervisor, you will be responsible to engage, enable, and support the Data Analytics Team in collecting, managing, and coordinating data assets that support Business Intelligence (BI) enablement and analytics projects across the business.In This Role, You WillDeployCollaborate with relevant business departments to assess, gather and document Data Asset requirements that are aligned with business objectives. Engage stakeholders collecting & validating requirements that enable prioritisation of projects & reference for Product Team.Work alongside the business to promote the capability of data assets & supporting adoption. LeadCollaborate with both Data Scientists, Governance, and Data Product Team to support them in their tasks and learn their roles and responsibilities within the team.Monitor and provide visibility of on-going projects to the leadership with appropriate recommendations or action plans.Have a passion to enhance analytical skills & capacities within the team and actively pursue tasks and objectives to achieve this goal.ExecuteSupport planning & prioritisation of requirement deliveryEnsure requirements support streamlined estimation & development by the Product TeamSupport the creation of data assets through development, testing or analysisIdentify source, prepare and maintain data required for Data Assets and Analytics projects or initiativesQualificationTo be considered for this role you must meet the below requirements: 12 years schooling or equivalent with additional qualification or certification relevant to data analysis2+ years experience in a data driven environment. Experience working with data assets that support a business need.Familiarity or knowledge of languages such as SQL, Python, R, etc.Familiarity or knowledge of visualisation best practise & enablement of data storytelling.Excellent command of written and spoken English.Understanding of how data is sourced and managed in a business environment.Attention to detail.At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop their careers. If you’re looking for a challenging and rewarding opportunity, apply today and join our team!Salary & benefitsJoin us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

Join Delphi - Where Innovation meets transformationAt Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well being while driving transformative results for our clients.We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future.About the Role: Director – Data & AI DeliveryLocation: India ( Remote ) / Dubai (Onsite)We are seeking a strategic, high-impact Data & AI Delivery Lead to head our Data Analytics and AI Practice. This senior leadership role will operate the BU like an independent business — driving delivery excellence, operational efficiency, presales effectiveness, client satisfaction, and revenue growth.The ideal candidate is a strong technologist, seasoned delivery leader, and business strategist who can scale a Data & AI portfolio end-to-end while building powerful partnerships with internal leaders across Sales, Engineering, Architecture, and Operations.Key ResponsibilitiesLeadership & Delivery OversightLead end-to-end delivery of Data, Analytics, and AI projects across multiple enterprise clients.Ensure delivery excellence across quality, timelines, budgets, governance, and accountability.Provide strategic direction to teams including Data Engineering, AI/ML, Architecture, PMO, and Analytics.Establish best practices across Azure Data Services, Databricks, and enterprise cloud ecosystems.Drive continuous improvement and delivery predictability across the BU.Client & Stakeholder ManagementAct as primary point of contact for C-level and senior client stakeholders.Build long-term, trusted relationships to drive account growth, renewals, and repeat business.Present delivery health, risks, mitigation plans, and transformation roadmaps to client leadership.Strengthen collaboration with internal leaders (CEO, Sales, Engineering, Talent, Pre-Sales) to ensure alignment and business success.Pre-Sales & Business GrowthCollaborate with Pre-Sales, Sales, Architecture, and Engineering teams to shape winning proposals.Contribute to RFP responses, Data/AI solutioning, effort estimations, and delivery models.Develop reusable frameworks, capability decks, and methodologies to support GTM initiatives.Identify cross-sell and up-sell opportunities within existing accounts and emerging markets.Work with leadership to build scalable and differentiating Data & AI offerings.Business Unit ManagementOwn BU performance metrics including utilization, profitability, margins, efficiency, and customer satisfaction.Oversee workforce planning, talent strategy, and capability building for the BU.Collaborate with TA on hiring plans and competency development for Data & AI talent.Ensure streamlined operations, forecasting accuracy, and financial discipline.Strategy & InnovationDefine and execute the Data & AI BU strategy — growth roadmap, capability expansion, and delivery model.Drive innovation in Data Engineering, AI/ML, Generative AI, RAG, Automation, and Analytics.Build a forward-looking view of emerging technologies and their impact on offerings and revenue models.Champion a culture of innovation, learning, and continuous improvement.Candidate ProfileExperience & Expertise10–15+ years of experience in Data, Analytics, Cloud, or AI delivery roles.Strong delivery leadership experience across Azure Data Services, Azure Analytics, or Databricks.Hands-on understanding of data engineering, cloud architecture, data platforms, analytics, and AI/ML models.Leadership & Business SkillsProven experience managing large multi-functional delivery teams across simultaneous projects.Ability to operate as a Business Unit Leader — delivery, operations, presales, client success, and financials.Strong stakeholder management and communication skills, capable of influencing CXO-level clients.Demonstrated ability to scale teams, processes, and delivery excellence frameworks.Additional QualitiesStrategic thinker with strong execution capability.Excellent analytical, problem-solving, and decision-making skills.Ability to build high-performing teams and scalable delivery systems.Passion for data-driven innovation and AI-powered transformation.What We Offer:At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company sponsored certifications, training programs, and skill-building opportunities to help you succeed.We foster a culture of inclusivity and support, with remote work options and a fully supported work-from home setup to ensure your comfort and productivity. Our positive and inclusive culture includes teamactivities, wellness and mental health programs to ensure you feel supported.

Vice President AIOverviewA high growth, well funded fintech organisation is seeking a Vice President AI to lead the buildout and scale of its artificial intelligence capability. The company is entering a critical growth phase and looking to build a best-in-class AI function that drives competitive advantage across products and operations.This role is focused on defining strategy, hiring top talent, and scaling AI capability, while delivering measurable business impact.Key ResponsibilitiesDefine and execute the AI strategy, aligning initiatives to product roadmap and commercial goalsBuild and scale high performing AI teams across machine learning, data science, and engineeringOwn hiring strategy, workforce planning, and talent development to attract and retain top AI talentEstablish scalable AI platforms, tooling, and MLOps frameworks to support production deliveryDrive delivery of high impact AI use cases across fraud detection, risk modelling, automation, and customer experiencePartner with product, engineering, and business leaders to embed AI into core offeringsIntroduce best practices across the AI lifecycle including model development, deployment, and monitoringImplement governance frameworks covering responsible AI, compliance, and model riskMentor senior technical leaders and define clear career pathways across IC and management tracksManage budgets, vendors, and external partnerships to accelerate capability buildout and scalingRequirements12 plus years experience across AI, machine learning, or data driven engineeringProven track record building and scaling AI teams in high growth environmentsStrong technical grounding in machine learning systems, data platforms, or AI engineeringExperience operating at Director or VP level within a technology led organisationDemonstrated success delivering AI solutions into production at scaleExperience within fintech, payments, or regulated industries preferredStrong executive stakeholder management and communication skillsUnderstanding of AI governance, risk, and regulatory considerationsWhy JoinWell funded fintech scale up with strong backing and rapid growth trajectoryApproximately 200 employees with ambitious expansion plansOpportunity to build AI capability from strong foundationsHigh visibility role with direct impact on product and business strategyLeadership team fully aligned on AI as a core growth driverSuccess MeasuresSuccessful hiring and scaling of high performing AI teamsEstablishment of scalable, production ready AI capabilityDelivery of AI driven solutions with measurable business impactStrong retention, engagement, and development of AI talent

Damac Group is hiring Senior Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale.About the Role:You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business.You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise.Key Impact Areas:Own end-to-end AI delivery — concept → build → production → scaleLead deployment of AI across Sales, Marketing, Capital Projects, and Corporate PlatformsArchitect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflowsBuild and lead cross-functional AI engineering teams (Product, Data, Engineering)Establish MLOps, deployment standards, and governance frameworksDrive adoption, performance, and measurable business ROI from AI systemsWhat We’re Looking For:10–15+ years in engineering, AI, or large-scale technology deliveryProven track record deploying AI/ML systems into production at enterprise scaleStrong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelinesHands-on understanding of LLMs, orchestration frameworks, and MLOpsExperience leading technical teams and senior stakeholdersAbility to operate 50/50 technical and business-facingPreferred Experience:Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential.Experience embedding AI into complex, multi-system enterprise environments