Your AI career in the UAE starts here

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About the OpportunityJoin a leading global digital consultancy in the UAE as an AI Practice Lead, driving the development and delivery of advanced AI solutions across the MENA region.Based in Dubai, this is a senior, hands-on leadership opportunity combining deep technical expertise, commercial thinking and enterprise client engagement.The RoleAs AI Practice Lead, you'll join the regional leadership team, combining deep technical expertise with commercial thinking and client engagement.We're looking for someone who remains close to the technology. Someone who can architect solutions, lead complex AI delivery and confidently engage with senior stakeholders on technical and strategic challenges.You'll play a key role in growing AI capability across the region, from presales and solution design through to production deployment and internal capability development.Key ResponsibilitiesLead AI presales, proposals and solution design for enterprise and financial services clients.Own the delivery of Generative AI and Machine Learning solutions, including RAG, agentic systems and production-ready applications.Lead AI initiatives from proof of concept through to live production.Build internal AI capability through training, certifications and R&D.Provide technical leadership and guidance across complex AI projects.Work closely with regional leadership to shape AI strategy, solutions and delivery.Translate complex technical concepts into clear recommendations for senior stakeholders.Build and maintain strong relationships with clients and internal teams.Experience & SkillsStrong hands-on engineering experience across classical Machine Learning, Deep Learning and Generative AI.Technical knowledge of Transformers, CNNs, RNNs and modern AI architectures.Proven experience delivering AI solutions from proof of concept into live production environments.Experience with cloud platforms, AI architecture and agentic systems.Experience working within regulated industries, including financial services, telecommunications or government.Background in a hyperscaler, consultancy or in-house AI function.Strong technical credibility with the ability to architect, develop and challenge complex solutions.Excellent communication, presentation and stakeholder management skills.Ability to engage confidently with senior executives and non-technical stakeholders.A collaborative leadership approach with strong commercial awareness.What's on OfferSenior leadership opportunity within a leading global digital consultancy.Opportunity to shape and grow AI capabilities across the MENA region.Direct involvement in complex enterprise AI projects, from solution design through to production.A position within the regional leadership team from day one.Highly competitive salary package.Relocation considered for the right candidate.

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Head of Machine LearningBanking & InvestmentsOn-site in the UAEPermanent positionWe are looking for a Head of Machine Learning for a financial services giant in the UAE.ResponsibilityLead the architecture, development, and deployment of GenAI, Agentic AI workflows, and advanced ML modelsLink state-of-the-art AI research and production-grade engineeringSteer the ML vision and strategyExperience needed:Proven banking experience5+ years in leadership roles across Machine Learning, Data Science of Software EngineeringStrong background in hands on ML rolesDeep understanding of embedding AI microservices into high traffic web and mobile appsHands-on experience with modern cloud ecosystemsProven experience designing and deploying GenAI architecturesAwareness of responsible AIMLOPS & GenAIOps production deploymentManagementExperience leading teams of 40+ (IC's & Managers)Scale the ML functionEducation: Must have at least a Bachelors to applyPackage:Tax free salaryTax free bonusTax free relocation cash allowanceEducation allowance for childrenVisa + familyMedical insurance + familyFlight allowance + family**Due to the high number of applicants, only candidates with the relevant skillset will be contacted**

About The ClientOur client is a Dubai-based developer shaping the future of real estate and hospitality through technology-led, design-driven projects.Their vision combines intelligent living, longevity and wellness, and autonomous systems within every development.Operating across smart home technology, robotics and agentic AI, they are building homes that think, learn and respond.They are assembling a high-calibre technology team to turn raw data into a truly predictive and personalised living experience.Job Description: AI Data Analyst (Predictive Intelligence & Agentic Systems)Mandatory Keywords: Python, SQL, Data Lake, Machine Learning, Predictive Modeling, RAG, Vector Databases, Time-Series AnalysisPeripheral Keywords: Spark, Flink, ETL/ELT, PyTorch, TensorFlow, Scikit-learn, DuckDB, Apache Parquet, Pandas, NumPy, Pinecone, ChromaDB, Weaviate, LangChain, LangGraph, Ollama, OpenAI API, MQTT, Home Assistant, IoT Telemetry, Reinforcement Learning, Statistics, Anomaly Detection, Data Visualization, Dashboards, Data Privacy, GDPRRole OverviewWe are seeking a sophisticated AI Data Analyst to serve as the architect of intelligence for our ecosystem. You will be responsible for managing our comprehensive Data Lake, transforming raw telemetry from smart home devices and robotic integrations into actionable intelligence.Your mission is to move beyond "reactive" automation. You will build the data pipelines and machine learning models that allow our Agentic Interfaces to anticipate user needs, recognise patterns of life, and provide a truly predictive, personalised experience. You will be the bridge between raw IoT data and the "brain" of our autonomous systems.Key Responsibilities Data Lake Management & EngineeringArchitect and maintain a high-performance Data Lake to ingest, store, and process massive streams of event data from smart home devices, sensors, and robotic unitsDesign robust ETL/ELT pipelines to ensure data integrity, low-latency availability, and high-quality inputs for model trainingImplement advanced Data Vectorization and Chunking strategies to prepare unstructured data for RAG (Retrieval-Augmented Generation) and long-term agent memory Pattern Analysis & Inference TrainingDevelop and deploy Machine Learning models to identify behavioural patterns (e.g., user routines, occupancy trends, and environmental preferences)Conduct Inference Training to refine how our agents "reason" about user journeys, moving from simple triggers to complex anticipatory actionsPerform deep-dive Event Analysis to identify anomalies, optimise system performance, and improve the reliability of autonomous robot behaviours Predictive Intelligence & PersonalisationBuild the logic that powers Predictive Automation: ensuring the home doesn't just react to a command, but anticipates the user's next moveDevelop "User Journey" models that allow our Agentic Interfaces to provide proactive assistance (e.g., preparing a meeting room before the user arrives or adjusting home climate based on predicted activity)Collaborate with the Robotics and AI Engineering teams to feed personalised "profiles" into the agentic workflows Analytics & VisualisationCreate internal dashboards to monitor the "health" of our intelligence, tracking model accuracy, prediction success rates, and data flow bottlenecksTranslate complex data findings into actionable product insights for the engineering and design teamsRequirementsTechnical RequirementsData Engineering: SQL, Python (Expert), Spark/Flink, Data Lake ArchitectureMachine Learning: Scikit-learn, PyTorch/TensorFlow, Inference Optimisation, Reinforcement Learning (basics)Vector Databases: Pinecone, ChromaDB, or Weaviate (experience with Vectorization & Chunking)Data Processing: DuckDB, Apache Parquet, Pandas, NumPyAI Frameworks: LangChain/LangGraph (for RAG data prep), OpenAI API, OllamaIoT & Telemetry: MQTT, Home Assistant Data Exports, Time-Series AnalysisMathematics: Probability, Statistics, Linear Algebra (for model training)Preferred QualificationsData Science Background: A degree in Data Science, Computer Science, or a related quantitative fieldPredictive Modeling Experience: Proven experience building models that predict human behaviour or time-series eventsRAG Expertise: Deep understanding of how to chunk and vectorise data for Large Language Models (LLMs)Agentic Mindset: An understanding of how "Agents" differ from standard "Automations", focusing on reasoning and planning rather than just If/Then logicWhy This Role?You won't be cleaning spreadsheets; you will be building the Cognitive Layer of a modern home. You will have the opportunity to work with cutting-edge data architectures and see your models directly influence how people interact with their physical environment. If you want to turn "Smart Homes" into "Intuitive Homes," this is your role.Additional Suggestions For The CandidatePortfolio Focus: We value candidates who can demonstrate a project involving time-series prediction, a custom RAG pipeline, or a complex data visualisation of IoT telemetryScalability Mindset: As the business grows, so will our data. We need someone who thinks about how to scale data ingestion from 10 homes to 10,000Privacy First: You must have a strong understanding of data privacy and how to anonymise/secure sensitive user telemetry while still maintaining high-utility data for ML trainingBenefitsCompensation & BenefitsCompetitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experiencePerformance Incentives: Rewards linked to quality and delivery outcomes, as per Company Internal PolicyVisa & Medical Insurance: Full UAE visa sponsorship and comprehensive health coverPaid Leave: As per Company Internal Policy and UAE Labour LawAnnual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and Labour LawModern Tooling: Modern hardware plus cloud data and machine learning toolsLearning & Career Growth: Certification and conference support, with a clear path to leadershipAutonomy & Impact: Build the intelligence layer from the ground up and shape how AI is deployed in the physical world

About The ClientThe client is a Dubai-based real estate and hospitality developer creating technology-led, wellness-focused living environments. It brings together design, engineering and artificial intelligence to deliver smart, future-ready communities. Its teams work at the intersection of property, technology and longevity. The client is now expanding its technology organisation to build proprietary AI and smart-living capabilities.About The RoleWe are seeking a versatile Senior AI Systems & Local LLM Engineer who bridges the gap between state-of-the-art frontier models, smart home automation systems, and self-hosted, local LLM infrastructure. You will architect, deploy, and scale local inference engines, real-time voice and avatar agents, and complex agentic workflows, while maintaining full ownership over our virtualized infrastructure and IoT setups.If you thrive on rapid prototyping ("vibe coding" with high velocity), love running local hardware and virtualized environments, and prefer pragmatism over slow-moving bureaucracy, this role is for you.Key ResponsibilitiesLocal LLM & Inference Orchestration: Deploy, tune, and maintain self-hosted LLM setups using tools like LMStudio, Exo, vLLM, and Ollama. Integrate locally trained/fine-tuned weights into production environmentsAgentic Workflows & Avatars: Design and wire up autonomous AI agents using frameworks like OpenClaw, Hermes, and custom agentic graphs. Build real-time voice agents and interactive AI avatars for seamless human-computer interactionSmart Home & Voice Integration: Integrate local AI voice agents and agentic control layers directly into Home Assistant for low-latency, privacy-focused automation and interactive controlHybrid Model Routing: Build resilient middleware that routes queries dynamically between high-throughput local models and top-tier frontier APIs (OpenAI, Anthropic, Gemini)Infrastructure & Virtualization: Provision, manage, and optimize enterprise compute nodes using Linux (Ubuntu/Debian) and Proxmox VE. Handle GPU passthrough, container orchestration, and resource allocationFull-Stack AI Integration: Develop high-concurrency backend services, real-time streaming endpoints (WebSockets/SSE), and API layers using Python (FastAPI/AsyncIO) and Node.jsRequirementsCore RequirementsExperience: 3-5 years of software or AI engineering experience with a strong portfolio of deployed production systemsHome Assistant Mastery: Hands-on experience integrating custom components, local voice pipelines, or LLMs into Home AssistantRapid Development ("Vibe Coding"): Exceptional speed and fluency leveraging modern AI-assisted coding tools (Cursor, Copilot, Windsurf) to write clean, working code quicklySystems & Virtualization: Comfort operating in raw Linux environments, managing Proxmox hypervisors, and configuring LXCs/VMs for GPU workloads and smart home servicesLanguage Proficiency: Strong, production-grade skills in Python and Node.jsLocal AI Ecosystem: Hands-on experience with local model deployment, quantization formats (GGUF, EXL2, AWQ), and multi-device local compute clusters (Exo/LMStudio)Agentic Frameworks: Familiarity with agent orchestration paradigms, tool use, local memory storage, and frameworks like Hermes or OpenClawPreferred / Nice to HaveExperience with IoT communication protocols like MQTT, Matter, and Zigbee (Zigbee2MQTT / ZHA)Experience fine-tuning local models (Unsloth, QLoRA, Axolotl)Familiarity with real-time audio pipeline tools (WebRTC, Deepgram, ElevenLabs) and local TTS/STT stacks such as Whisper, Piper, and XTTSActive homelabber or self-hosting enthusiast with real-world experience managing physical/virtual GPU rigs and smart home setupsTech Stack HighlightsInference & Orchestration: LMStudio, Exo, vLLM, Ollama, OpenClaw, HermesVirtualization & OS: Proxmox VE, Linux (Debian/Ubuntu), Docker, LXC, GPU PassthroughSmart Home & IoT: Home Assistant, MQTT, Matter, ZigbeeBackend Development: Python (FastAPI, AsyncIO), Node.js, WebSockets / SSEFrontier APIs: OpenAI, Anthropic, GeminiBenefitsCompensation & BenefitsCompetitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experiencePerformance Incentives: Rewards linked to quality and delivery outcomes, per Company Internal PolicyVisa & Medical Insurance: Full UAE visa sponsorship and comprehensive health coverPaid Leave: As per Company Internal Policy and UAE Labour LawAnnual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and labour lawTop-Tier Tooling: Modern hardware, dedicated GPU compute and leading AI development toolsLearning & Career Growth: Certification and conference support, with a clear path to leadershipAutonomy & Impact: Build the AI function from the ground up and shape how AI is deployed in the physical world