Your AI career in the UAE starts here

We have partnered with a leading consumer-focused business in the UAE to hire a Data Scientist. This is a role for someone who is genuinely curious about why people buy what they buy. The business sits on a rich and growing pool of customer data, and this person will turn that data into a real understanding of buyer behaviour, intent and emerging trends. The insight you produce will shape commercial decisions at the highest level, so if you want your work to actually move the needle rather than sit in a dashboard nobody opens, this is worth a look.This role suits a data scientist with strong commercial instincts who can bridge the gap between rigorous modelling and decisions the business can act on.About the role:Build models that decode buyer mentality, purchase intent and behavioural trends, turning raw customer data into insight the business can act onDevelop predictive and segmentation models that anticipate customer behaviour, identify emerging patterns and inform commercial strategyWork closely with commercial, marketing and product teams to frame the right questions and deliver answers that drive real decisionsTranslate complex analysis into clear, compelling narratives that resonate with non-technical stakeholders and senior leadershipDesign and run experiments that test hypotheses about customer behaviour and measure the impact of commercial decisionsContribute to the evolution of the data science function, bringing new techniques, tools and thinking into the team About you:5 years of experience in data science, with a track record of building models that have influenced real business decisionsStrong proficiency in Python and SQL, with hands-on experience across the full modelling lifecycle from exploration to deploymentSolid grounding in machine learning techniques including classification, clustering, regression and forecastingExperience working with customer, behavioural or transactional data to understand and predict buyer behaviourCommercially minded, with the ability to connect analysis directly to revenue, retention and growth outcomesStrong communicator who can turn technical work into insight that non-technical stakeholders understand and trustFinancial services or retail experience is strongly preferred

Job DescriptionThe Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production.Key ResponsibilitiesDesign and implement agentic AI features that automate CRM workflows and decision tasks.Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations.Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs.Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness.Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours.Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact.Maintain development and testing infrastructure used for agent experimentation and deployment.RequirementsProven track record delivering AI or agentic prototypes into production systems.Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques.Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services.Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations.Operational experience managing servers, CI/CD and deployment tooling for ML services.Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.

We are looking for an experienced AI Development Engineer to join an exciting enterprise AI transformation project with a leading consulting organization.If you have hands-on experience building GenAI applications, RAG pipelines, AI agents and enterprise AI solutions, we would love to hear from you!Key Responsibilities:Develop GenAI applications, RAG pipelines, AI agents, copilots and automation workflows.Build responsive user interfaces using React, Next.js and TypeScript.Develop APIs, data connectors and AI integrations using Python and Azure AI services.Build PoCs, MVPs and reusable AI solutions for enterprise clients.Support AI testing, performance optimization, hallucination checks and responsible AI implementation.Required Skills & Experience:5–8 years of experience in software development, AI, cloud or automation.Strong hands-on experience with Python, FastAPI, React or Next.js.Experience with Azure OpenAI, Azure AI Foundry and Azure AI Search.Strong knowledge of RAG, embeddings, vector databases, prompt engineering and AI agents.Experience with APIs, Git, CI/CD, containers and automated testing.Good communication skills and experience working in Agile teams.All applications will be treated with strict confidentiality.

ABOUT THE ROLEIn this role, you will design and build next-generation applications powered by AI agents on the Microsoft Azure ecosystem. You'll own features end-to-end, from responsive front-end experiences to scalable back-end services and agent orchestration layers, building applications for, driven by, and consumed by AI agents - combining strong full stack fundamentals with cutting-edge agentic AI development.Please note that this is a hybrid role, requiring office attendance at least twice a week.RESPONSIBILITIESDesign and build full stack, production-grade applications based on AI agents and multi-agent architectures.Develop modern, responsive web UIs supporting conversational experiences, real-time streaming agent responses, and dashboards for monitoring agents.Build robust back-end services and APIs (REST, gRPC, MCP) in Python (FastAPI), enabling agent-to-agent and agent-to-system communication.Develop agentic workflows using frameworks such as Semantic Kernel, AutoGen, LangChain/LangGraph, or Azure AI Agent Service.Integrate LLMs via Azure OpenAI Service, including prompt engineering, function/tool calling, and RAG pipelines.Design chunking and indexing strategies for RAG pipelines (semantic chunking, hybrid search, re-ranking) to optimize retrieval quality.Build and maintain evaluation pipelines for LLM/agent outputs (e.g., RAGAS, promptfoo, or custom eval frameworks) to measure accuracy, relevance, and reliability.Design cloud-native solutions using Azure Functions, AKS, Container Apps, Cosmos DB, and Azure AI Search, including data models across SQL and NoSQL stores.Implement secure, observable, cost-optimized systems using Azure Monitor, Key Vault, Entra ID, and CI/CD pipelines with infrastructure-as-code.REQUIREMENTS8+ years of full stack engineering experience, with at least 3 years on the Azure stack.Strong back-end skills in Python, with a solid grasp of distributed systems and microservices.Hands-on experience building applications with LLMs and agent frameworks (Semantic Kernel, AutoGen, LangGraph, or similar).Strong front-end proficiency in modern frameworks, typed JavaScript, semantic HTML/CSS, and responsive, accessible UI design.Experience with Azure OpenAI, Azure AI Foundry, and vector databases (Azure AI Search, Cosmos DB vector search).Proven experience with RAG architectures, embeddings, chunking/indexing strategies, prompt orchestration, and tool/function calling.Hands-on experience with evaluation frameworks for LLM/agent outputs and defining quality metrics for AI systems.Experience designing end-to-end agentic solution architectures (multi-agent orchestration, tool/agent boundaries, error-handling and fallback strategies).Experience building real-time features (WebSockets, SignalR, SSE) for streaming AI/agent responses.Solid understanding of authentication/authorization (OAuth2, Entra ID) and DevOps practices (CI/CD, IaC, Docker/Kubernetes).SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

Company OverviewOpen Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomesRole Overview:You will work directly with customers on their hardest problems, then design and build AI systems to solve them.Most of what you build will sit on top of the OI Platform, which provides the underlying infrastructure: model inference, agent orchestration, retrieval and the broader AI tooling layer. Your focus is not on rebuilding the foundation, but on applying it effectively. You will concentrate on the customer-specific layer: workflows, data integrations, user interfaces, and the points where the platform meets a live operation.Teams are small, autonomy is high, and you own each project from kickoff through production. A typical day may involve discussing architecture with a colleague, preparing customer data, building a web application on top of the platform, integrating with SAP or Oracle, prototyping an agent, and presenting results to executives.**You build it, you ship it, you own it**This is a strong environment for engineers who want to develop real depth. You will learn how to break down ambiguous problems, evaluate real tradeoffs, work directly with modern AI tooling, and grow within a team that will challenge you.Role Responsibilities:Embed with the client and work alongside their stakeholders to translate business problems into technical solutions.Build AI solutions on top of the OI Platform, including agent workflows, RAG pipelines, custom applications, and data products that connect the platform to the customer's enterprise systems.Own the full lifecycle: discovery, architecture, build, deployment, and iteration once real users are on the system.Transform large, complex, real-world data into formats that AI systems can use effectively.Collaborate with product engineers, deployment strategists, and the customer's team on both the solution and the surrounding strategy.Travel to client sites when the work calls for it: running workshops, debugging live systems, and building trust with the people you are delivering forRequired skills & Experience:A strong engineering background in computer science, software engineering, mathematics, physics, or data science.4+ years in backend, data, or full-stack engineering. More senior and more junior candidates are welcome to apply; please indicate where you sit.Genuine proficiency in Python or TypeScript (either is acceptable).Hands-on experience with modern AI tooling: LLMs, RAG, vector databases, agent frameworks, evaluations, and prompt orchestration.Experience working with large-scale data, cloud platforms (AWS, GCP, or Azure), and modern data tooling.The ability to hold a substantive conversation with a CTO and a non-technical executive in the same meeting.A strong sense of ownership: you make decisions, ship work, and move forward without waiting to be directed.Comfort with ambiguity, shifting priorities, and problems that have not been solved beforePreferred Experience:Experience deploying AI/ML systems in regulated or mission-critical environments.Experience working directly with enterprise customers in a delivery or consulting capacity

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.JOB TITLEData Science Manage | MAF LifeStyle | LifestyleROLE SUMMARYThis role is the primary owner of demand forecasting, demand sensing, demand planning, and advanced customer segmentation capabilities – driving measurable commercial impact across a multi-brand, multi-market retail portfolio spanning UAE, KSA, Kuwait, Qatar, and Bahrain. The role partners closely with brand owners, buying and planning teamsROLE PROFILEOwn end‑to‑end demand forecasting across SKU, category, and brand levels (short, medium, long term), incorporating seasonality, promotions, sell‑through, and external market factors across GCC markets.Lead demand sensing initiatives using real‑time POS, digital, and macro signals to anticipate near‑term demand shifts and enable rapid commercial decisions.Partner with Buying & Planning teams to translate forecasts into OTB, replenishment, markdown optimization, and NPI strategies, presented in clear commercial language.Design advanced customer segmentation models (RFM, CLV, behavioral and propensity models) to enable personalized marketing, CRM, and loyalty activation.Identify and priorities high‑impact AI use cases across pricing, assortment, promotions, churn, store clustering, and next‑best‑action with quantified business value.Drive adoption of Computer Vision solutions including footfall analytics, shelf compliance, planogram adherence, visual search, and automated product tagging.Lead NLP and conversational AI initiatives such as chatbots, sentiment analysis, multilingual (Arabic/English) text analytics, and automated product content generation.Build and scale production‑grade ML solutions on Azure/Microsoft Fabric, including automated pipelines, monitoring, drift detection, and executive reporting via Power BI.REQUIREMENTSBachelor’s degree in STEM (Science, Technology, Engineering, Mathematics).Advanced degree in related topics is a strong plus.Background or previous experience in retail, fashion, or lifestyle industry is strongly preferred.Experience in GCC/MENA markets is an advantage.Strong customer segmentation & CLV modeling experience.WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!Work in a friendly environment, where everyone shares positive vibes and excited about our future.Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.