Your AI career in the UAE starts here

Candidate ProfileThe Entrepreneur in Residence (EIR) should combine founder capability, technical depth, and commercial judgment. The role is intended for entrepreneurs capable of building venture-scale companies in Physical AI rather than managing mature businesses.Essential RequirementsPrevious founder, co-founder, or senior leadership experience in a technology startup.Demonstrated experience in robotics, including industrial, service, autonomous, or mobile robotics.Strong expertise in computer vision, including perception systems, object detection, tracking, inspection, navigation, or visual AI applications.Practical experience applying AI and machine learning to real-world physical systems.Experience taking products from concept to commercialization.Strong customer discovery and product-market validation capability.Ability to recruit, lead, and motivate high-performing technical teams.Experience working with multidisciplinary hardware and software engineering teams.Strong commercial judgment and venture-building mindset.Preferred ExperienceOne or more of the following:Physical AIAutonomous systemsEdge AISensor fusionSLAM and localizationRobotics simulation and digital twinsIndustrial automationManufacturing technologyWarehouse automationDrone or aerial roboticsMedical roboticsHuman-robot interactionVenture capital, venture studio, or deep-tech startup experienceSeed or Series A fundraisingPersonal AttributesFounder mentality with a strong bias for execution.Comfortable operating under uncertainty.Evidence-based decision maker.Highly resourceful and capital efficient.Strong systems thinker with commercial instincts.Able to bridge engineering, research, and business.Motivated by long-term ownership and value creation.CompensationThe Entrepreneur in Residence is engaged to create long-term shareholder value. Accordingly, compensation is primarily equity-based and aligned with the successful creation and scaling of new ventures.Base CompensationNo fixed salary.Mojay holding may provide a modest monthly stipend and reimburse approved business expenses during the incubation period.Venture EquityFor each venture approved and funded by Mojay, the EIR will be eligible to receive founder equity of up to 20%, subject to:Four-year vesting.One-year cliff.Monthly vesting thereafter.Continued active involvement.Future dilution through fundraising.The final equity allocation will depend on:Quality of the opportunity.Technical and commercial contribution.Capital invested by Mojay.Stage of the venture.Presence of additional founders or key executives.Performance-Based EquityAdditional equity may be awarded at Mojay’s discretion upon achieving significant milestones, including:Successful customer validation.MVP completion.First commercial revenue.Strategic partnerships.External funding.Material enterprise value creation.LiquidityThe EIR participates in the economic upside of vested equity upon an acquisition, IPO, secondary sale, or other approved liquidity event.GovernanceAll equity awards are subject to:Good Leaver and Bad Leaver provisions.Intellectual property assignment.Confidentiality obligations.Restrictive covenants.Mojay’s shareholder and equity incentive agreements.The objective is to align the EIR’s rewards directly with long-term shareholder value creation rather than fixed compensation.

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

Landmark Group: Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a global retail and hospitality group. The proud creator of 50 plus value led, own-built brands across retail, hospitality, food, and leisure. Over the years, our UAE-based group has evolved into a comprehensive retail and hospitality entity, with over 2400 retail stores, leisure, and hospitality outlets, spanning the GCC, Middle East, India, Southeast Asia, and Africa.Landmark Group headquartered in Dubai, UAE is one of GCC's largest omnichannel retailers and India's top home and fashion retailer. We take immense pride in the organic growth of our retail brands, which have blossomed into household names. From Max, Splash, Babyshop, Centrepoint, Shoemart, Home Centre, Emax, Fitness First, to Fun City, to name a few, our brands span across a multitude of categories, enriching the lives of countless families over the past decade.Csi (Customer Strategy Intelligence):Csi is a newly established strategic business unit within Landmark Group, bringing together the organization's most critical growth-driving capabilities into one integrated engine. Designed to shape the next phase of retail innovation, Csi unifies Data & Analytics, Loyalty (Shukran), Partnerships & Co-brands, Performance & Digital Marketing, and Customer Product & Martech under one vision. At its core, Csi stands for Customer, Strategy & Intelligence—placing customer experience at the center, enabling smarter business decisions through data, and leveraging AI and Business Intelligence to power every interaction and outcome.Joining Csi means becoming part of a high-impact team where Product, Data, AI, and Customer Experience converge to build solutions that serve millions of customers across multiple brands. This is an opportunity to work on meaningful business challenges, take ownership of strategic initiatives, and help redefine how modern retail operates in the region. We are looking for individuals who think customer-first, enjoy solving complex problems through data and technology, and are passionate about AI, Martech, Product, or Analytics. If you're looking to contribute to a fast-paced, highly visible environment where your work drive real business impact, Csi offers the opportunity to build the future of customer intelligence on a scale.The role of Vice President, Customer Strategy & Activation is a senior leadership role and is accountable for setting the strategic direction and driving the execution of the Group's Shukran Loyalty program, which is Landmark's primary engine for customer acquisition, repeat purchase, and lifetime value across all concepts and territories. The role is also accountable for developing customer strategies for each of Landmark's brands, grounded in primary customer research and segmentation, and translated into concrete plans that the brand and concept teams can execute against. This role also involves working closely with brands and co-develop and drive a clear customer strategy for each brand, translating customer insights into actionable implementation plans with defined levers to improve acquisition, engagement, retention, and business growth.The role owns the definition of the Shukran program (earn and burn rates, tier criteria, member benefits), the modernization of the Shukran brand, the onboarding of new partners onto the program, the education of retail and omni-channel teams on Shukran, and the expansion of Shukran into new geographies. Alongside this, the role develops the customer strategy for each of Landmark's brands and for each country in which the Group operates, grounded in customer research and insights.The role also owns the development and evolution of the Group's Customer Service Product portfolio and takes direct Business Relationship Management responsibility for one to two brands. The incumbent will translate Landmark's customer data into measurable revenue and engagement outcomes and will operate as a strategy-and-execution leader in equal measure, setting the multi-year customer thesis while maintaining operational rigor on program economics, engagement metrics, and delivery velocity.Location - DubaiScope of the RoleShukran Loyalty Program: End-to-end ownership of program definition, brand modernization, partner onboarding, internal education, brand-level customer strategy for Shukran, and geographic expansion.Brand & Group Level Customer Research & Insights: The in-house Customer Research and Customer Insights capabilities that sit within this function and inform strategy across the Group.Country Customer Strategy: The customer strategy and insight agenda for each country in which Landmark operates, run through a Quarterly Business Review cadence with each country head.Business Relationship Management: Direct BRM responsibility for one to two Landmark brands, acting as the CSi owner for their customer agenda end-to-end.Customer Service Product: Development and evolution of the Group's Customer Service Product portfolio, including automated conversational experiences, intelligent customer support, and AI-led service journeys.Qualifications:EducationBachelor's degree required. A postgraduate qualification (MBA, AI, Analytics, or a related discipline) is strongly preferred.Experience16 to 20 years of experience in customer-facing functions, with a primary focus on customer engagement, Data / AI driven customer product. At least 5 of these years must be in a senior leadership role managing multi-disciplinary teams.Demonstrable track record of quantifiable contribution to new customer acquisition, repeat purchase behavior, and customer lifetime value.Experience commissioning, interpreting, and acting on customer research, with the ability to translate research findings into brand strategy, segmentation, and customer value propositions.Hands-on experience of developing or utilizing AI agents and agentic frameworks to enhance customer value, whether in customer support, personalized engagement, journey orchestration, or commercial decisioning.Experience deploying advanced analytics and machine learning into commercial workflows, including customer segmentation, personalization, and campaign optimization.Prior experience operating in the GCC, preferably the UAE, or in a comparable multi-concept consumer environment such as retail, ecommerce, financial services, and/or hospitality.Experience running a P&L or P&L-influencing function, with the ability to build investment cases and challenge commercial assumptions in business reviews.Fluency in English is essential, Arabic language skills are a plus.Functional & Technical CapabilitiesDeep working knowledge of loyalty platforms, and campaign automation tools.Fluency in customer engagement economics, including cohort analysis, retention modelling, and customer lifetime value calculations.Working knowledge of customer research methods, including quantitative segmentation studies, qualitative discovery, U&A research, and customer journey mapping.Working knowledge of AI and agentic product development cycles, including how to scope, prioritize, and govern AI-led customer products.Strong commercial modelling skills, with the ability to interrogate a P&L, build investment cases, and quantify the value of customer activation programs.Familiarity with regional privacy, consent, and consumer protection frameworks.Leadership CapabilitiesStrategic thinking, with the ability to set a multi-year direction and translate it into quarterly executable plans.Executive presence, with credibility at C-suite, Board, and external partner levels.Talent magnet, with a proven ability to attract, develop, and retain senior leaders and to build diverse, high-performing teams.Decisive operator, comfortable making calls under ambiguity and disciplined on follow-through.Cross-functional orchestration, with the ability to align technology, marketing, commercial, and analytics agendas around shared customer outcomes.

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

We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.RequirementsWhat You'll Do❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities❏ Translate business requirements into scalable data science and machine learning solutions❏ Validate data availability and define analytical approaches for new use cases❏ Build predictive models, machine learning solutions, and GenAI applications❏ Design robust data pipelines and analytical workflows❏ Apply data processing, feature engineering, and statistical modelling techniques❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices❏ Present analytical findings and recommendations to technical and executive stakeholders❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way❏ Mentor junior team members and support technical delivery across multiple initiativesYou're Our Match If You Have❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field❏ 5+ years of hands-on experience delivering data science or machine learning solutions❏ Strong Python programming skills and experience with modern data science libraries❏ Experience building predictive models, machine learning solutions, and GenAI applications❏ Strong understanding of statistics, data modelling, and feature engineering❏ Experience designing scalable data pipelines and production-ready AI solutions❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management❏ Excellent stakeholder management and communication skills❏ Ability to translate complex technical concepts into business valueBonus Points If You Have Experience With❏ Telecommunications or other customer-centric industries❏ Large-scale customer analytics and segmentation❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)❏ Cloud platforms such as Azure, AWS, or Google Cloud❏ Databricks, Spark, or distributed data processing❏ Docker, Kubernetes, or CI/CD pipelines❏ Leading or mentoring technical teams

The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance & Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.Activity: Data Engineering Architecture & Platform DevelopmentResponsibilities and Accountabilities:• Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).• Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.• Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.• Ensure seamless integration of OT and industrial data sources — including PI System, SCADA, and DCS — into enterprise data platforms.• Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.• Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.• Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.Responsibilities and Accountabilities:• Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.• Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining — ensuring reliability and reproducibility.• Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.• Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.• Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.• Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.• Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.Activity: Advanced Subject Matter KnowledgeResponsibilities and Accountabilities:• Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.• Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.• Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.• Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.• Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.• Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.Activity: Complex Problem Solving & InnovationResponsibilities and Accountabilities:• Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration — delivering innovative, compliant, and production-ready solutions.• Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.• Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.• Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.• Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.• Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approachesActivity: Applied Skills & Professional Know-HowResponsibilities and Accountabilities:• Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.• Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.• Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers — building future-ready technical capabilities.• Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.• Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.• Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.Activity: Security, Governance & ComplianceResponsibilities and Accountabilities:• Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.• Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.• Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.• Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.• Conduct regular platform security assessments, data quality audits, and compliance reviews.• Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.Minimum• Bachelor’s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.• Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.• Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.Preferred• Master’s degree in a relevant field.• Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.• Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.• Demonstrated experience leading large-scale data and AI engineering programsCertification - Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).