AI Jobs in Dubai

Dubai is rapidly becoming one of the world's leading hubs for artificial intelligence and technology innovation. From government-backed AI initiatives to thriving fintech startups, the city offers outstanding career opportunities for AI professionals at every level.

40 open positionsUAE

Senior Data Scientist

talabat

Technology, Information and Internet

Dubai, United Arab Emirates

Technology, Information and Internet

Full-time

Company DescriptionSince launching in Kuwait in 2004, talabat has become the region’s leading on-demand delivery app, serving millions of customers across eight countries. Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience — getting everyday essentials to customers’ doors in minutes, not hours.Behind every delivery is data. Our QC data team works at a scale most data scientists only read about: millions of daily transactions, thousands of partners, and decisions that directly shape how people across the Middle East get their groceries delivered. We’re building an analytics-first culture where every product and business decision is grounded in evidence.Your mission: ship the AI and ML systems that power talabat's intelligence. You're AI-native by default. You use Claude, Cursor, and equivalent tools as core leverage in how you architect and deploy. This is not a research role; we measure success in business outcomes and production reliability.You own a domain end to end — from problem framing through data pipelines, model training, deployment, and monitoring in production. You work closely with product and business teams, and you mentor other data scientists in their growth.Responsibilities:Frame ambiguous business problems as well-defined ML problems with clear success criteria.Design, build, and ship end-to-end ML and generative AI systems in production. You handle data pipelines, feature engineering, model training, serving, and monitoring without handoffs.Architect robust ML-based systems. Write clean, scalable production code. Train, deploy, and maintain reliable models.Leverage LLMs and generative AI for data enrichment, content understanding, and automated decision-making within production systems.Design and analyse experiments rigorously (A/B and multivariate tests) to measure model and product impact.Develop deep familiarity with source data and its generating systems through collaboration with engineering teams and systematic profiling.Provide high-quality insights and data-driven recommendations to drive strategic organisational choices.Mentor other data scientists. Elevate engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training.What we're looking for:3+ years shipping production ML systems (generative AI, recommendation engines, or ML infrastructure). Demonstrated velocity and ownership.Strong software engineering fundamentals: clean code, solid grasp of data structures, and system design (both general and ML-specific).Hands-on with the ML lifecycle: problem formulation, data auditing, modelling, deployment, interpretation, presentation.Proficiency in Python and SQL. Comfort with reproducible analysis and experimentation (A/B and multivariate analysis). Solid statistical thinking.Experience building data and training pipelines (Airflow or equivalent). Strong feature engineering and data modelling skills.Production ML systems experience: building, deploying, serving, monitoring. You understand MLOps practices.Familiarity with product data (events, impressions, conversions, engagement, retention). You know how to measure product health.Experience with LLMs and NLP-based solutions for data enrichment and automation is a plus.BigQuery or equivalent cloud data warehouse experience is a plus. GCP familiarity is a plus but not required.

Jul 7, 2026

Solution Architect - (GenAI, RAG, LLM, Azure)

Discovered MENA

Staffing and Recruiting

Dubai, United Arab Emirates

Staffing and Recruiting

Full-time

Solution Architect - (GenAI, RAG, LLM, Azure)Location: DubaiSalary: 40k/50k AED PM Tax Free + Visa + Healthcare for self and familyDiscover the opportunityWe are hiring a Senior Solution Architect to join a prestigious organization operating within a highly regulated sector. This position acts as the senior technical authority responsible for guiding the design and delivery of large scale generative AI solutions within a highly compliant enterprise framework.Discover the role As a Solution Architect, you will own the end to end solution architecture from initial discovery and high level design through to low level design, security accreditation, and final implementation. You will work at the intersection of generative AI, cloud native architecture, and strict compliance environments to shape architectural standards, guide delivery teams, and engage with executive stakeholders.Discover the responsibilitiesOwn solution architecture for generative AI products across enterprise agentic applications, copilots, and RAG platforms spanning web and mobile channelsDesign RAG pipelines, agent orchestration, and LLM integration patterns at scale including model routing, evaluation harnesses, guardrails, caching, and cost controlsAuthor high level and low level designs to house standards and guide them through architecture review boards for approvalDefine reusable reference architectures, patterns, and blueprints that accelerate delivery across the platformEmbed Zero Trust, data sovereignty, PDPL aligned data handling, and encryption by default across all solution designsTranslate product requirements into architecture with product managers and decompose designs into actionable engineering work for delivery teamsPartner with security, infrastructure, and networking teams to drive solutions through accreditation and into productionSupport vendor and proof of concept evaluations including technical scoring against RFP criteriaDiscover the requirementsMore than 10 years of experience in solution or enterprise architectureMinimum 2 years of experience architecting generative AI solutions including at least 1 year delivering LLM based systems in productionProven background in a large scale regulated sector such as finance, healthcare, or energyOver 5 years of deep Azure experience including Azure OpenAI, AI Foundry, AKS, API Management, Entra ID, Key Vault, Private Link, and hub and spoke network topologies including sovereign or highly secure cloud variantsComprehensive understanding of LL architecture patterns such as RAG, vector databases like Azure AI Search or pgvector, and agent orchestration frameworks like Semantic Kernel, LangGraph, AutoGen, or CrewAIStrong applied security architecture knowledge encompassing Zero Trust, identity and access design, encryption, and secure DevSecOps practicesExcellent documentation and communication skills with a track record of authoring technical designs and delivering executive presentations

Jul 7, 2026

Staff Data Scientist

talabat

Technology, Information and Internet

Dubai, United Arab Emirates

Technology, Information and Internet

Full-time

About talabatSince launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat's local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job Description:As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a Staff Data Scientist (AI & ML) on the global AI hub, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers.You will own the full ML lifecycle — from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.Responsibilities:Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.Mentoring other data scientists in their growth journeys.Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.Qualifications:Technical Experience:Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.Excellent SQL and competence with reproducible analysis and modeling in Python.Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.Familiarity with data modeling and dimensional design.Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.Familiarity with BigQuery and the Google Cloud Platform is a plus.General Experience:Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.7+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.Experience building ML systems in an online consumer product setting is a plus.A good problem solver with a 'figure it out' growth mindset.An excellent collaborator.An excellent communicator.A strong sense of ownership and accountability.A 'keep it simple' approach to #makeithappen.

Jul 7, 2026

AI Agent Engineer

edari

Financial Services

Dubai, United Arab Emirates

Financial Services

Full-time

We are looking to hire an AI Agent Engineer who will be responsible for designing, building, and operating AI agent systems using Microsoft Foundry for a client based in the Dubai, which is one of the largest companies in the region.This position is a contract role with an initial duration of 12 months and is renewable based on performance. The role sits within the IT Department and reports directly to the Associate Director Software Engineering.Key responsibilities:Design, build, and deploy production-grade AI agents using Microsoft Foundry, including model catalog, agent framework, and tool/function-calling capabilitiesIntegrate AI agents with enterprise systems (including Palantir Foundry via MCP) to access data and execute ontology-based actionsDevelop retrieval, memory, tool-use, and multi-agent orchestration patterns using PythonBuild evaluation frameworks and guardrails covering groundedness, safety, latency, and cost efficiencyApply LLM engineering techniques such as prompt engineering, structured outputs, RAG, and grounding strategiesOperate AI agents in production including observability, tracing, monitoring, cost optimization, and incident responseManage versioning of prompts, tools, configurations, and agent logic alongside codeIntegrate solutions with Azure services including Azure OpenAI, Azure AI Search, Storage, Functions, Container Apps, Key Vault, and Entra IDBuild CI/CD pipelines with automated evaluation gates for safe and reliable deploymentsEnsure secure design patterns for authentication, authorization, secrets management, and enterprise data handlingCollaborate with Product, Data Science, and Architecture teams to deliver end-to-end AI solutionsPromote reusable agentic frameworks and best practices across engineering teamsKnowledge, skills & experience:Bachelors degree in Computer Science or relevant.Strong hands-on experience in Python.Proven experience building LLM-based or AI agent systems (tool use, orchestration, RAG, evaluation frameworks)Experience with Microsoft Foundry or similar frameworks (Semantic Kernel, AutoGen, LangGraph, LlamaIndex, OpenAI Agents SDK, etc.)Strong understanding of Azure ecosystem (Azure OpenAI, AI Search, Storage, Functions, Entra ID, DevOps tools)Deep knowledge of LLM application patterns.Strong DevOps knowledge including Git, CI/CD, containers, and infrastructure-as-codeExposure to data engineering concepts and vector databases is an advantageStrong problem-solving, communication, and stakeholder management skillsExperience working in agile or fast-paced environments delivering AI/ML products from prototype to productionAvailability:Preference will be given to candidates available immediately or with a maximum 30-day notice period after accepting the offer.We are looking for a candidate who will be able to work in the United Arab Emirates. Please apply with your resume and ensure you provide your contact details.We will review your application within 7 working days. Should your profile fit the requirements of the role, a consultant will be in touch to discuss your experience in more detail and outline the next steps.

Jul 7, 2026

Ai Engineer

Salt

Professional Services

Dubai, United Arab Emirates

Professional Services

Contract

Job Title – Ai EngineerSalary – AED 25,000 - 28,500 Per MonthContract Length – 12 Months ContractLocation – DubaiStart Date - ASAPMy client is a global data, AI, digital transformation, and consulting company that helps organisations use data and technology to improve business performance, customer experience, and decision-making.Role Overview: The AI Engineer is the primary builder within the AWA AICoE. You will design, build, and test the LangGraph agent graphs, LLM extraction pipelines, prompt management workflows, and MCP tool integrations that power AWA's use cases — starting with Intelligent Document Processing (IDP) for cheque clearing and expanding across the bank's operations. You will work directly with the dual-layer orchestration stack (Orkes Conductor + LangGraph) and Azure AI Foundry to deliver production-grade agentic systems.Key ResponsibilitiesAgent graph development: Design and implement LangGraph agent graphs for Supervisor-Worker orchestration, self-reflection, actor-critic, and HITL interrupt patterns using TypedDict state schemas and conditional edge routing.LLM extraction pipeline: Build and maintain LLM-based entity extraction pipelines using Azure AI Foundry, implementing structured output enforcement, per-field confidence scoring, and Pydantic output validation against Use Case Manifest schemas.Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System (PMS) using semantic versioning; run prompt sensitivity and correctness testing using the AWA IDP Test Strategy.MCP tool integration: Develop and maintain the five core MCP tool servers (query_structured, retrieve_precedents, query_documents, checkpoint_state, observe) and extend them for new use case requirements.Model evaluation and testing: Execute Band 1 and Band 2 testing (Model Testing, Prompt Testing, Agent Testing, AI Security Testing, Adversarial Testing) per the AWA IDP Test Strategy; maintain the Golden Dataset and Regression Dataset.HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs; configure Orkes Wait tasks; validate HITL state persistence and checkpoint-based resumption.AI guardrail integration: Integrate Azure AI Content Safety, PII detection and tokenisation, prompt injection shielding, and output sanitisation into agent pipelines at the AWA AI Gateway layer.Cross-field validation rules: Implement business validation rules (amount-words-vs-figures, date validity, MICR format, referential integrity) within LangGraph validation agent nodes.Required Skills and ExperienceTechnical — Essential5+ years Python development — production-grade, not just scriptingHands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworksPractical LLM prompt engineering: structured outputs, few-shot design, output schema enforcementFamiliarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)Understanding of agent design patterns: ReAct, self-reflection, tool use, HITLREST API development and consumption; JSON schema designGit version control; CI/CD pipeline awarenessTechnical — AdvantageousExperience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestrationAzure AI Document Intelligence or equivalent OCR platform experienceComputer vision model integration (object detection APIs)Knowledge of RAG architectures: chunking, vector indexing, Azure AI SearchAzure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure MonitorPydantic, FastAPI, TypeScript/Node.jsDomain and Soft SkillsGenuine intellectual curiosity about AI systems and their failure modesAbility to explain AI behaviour to non-technical Ops and business stakeholdersStructured problem-solving and debugging approach for non-deterministic AI systemsBanking domain interest — willingness to deeply understand the business processes being automatedThanks,Ollie

Jul 7, 2026

AI SME (Subject Matter Expert)

Max Accelerate Technology Group

IT Services and IT Consulting

Dubai, Dubai, United Arab Emirates

IT Services and IT Consulting

Full-time

MaxAccelerate AI Labs DivisionLocation: UAE / Europe / Remote (Flexible)Reports to: Group CEO / Head of InnovationAbout MaxAccelerate AI LabsMaxAccelerate AI Labs is the innovation division of MaxAccelerate Technology Group, focused on designing and deploying next-generation AI automation ecosystems for enterprise clients.We are building intelligent AI Agents that integrate across CRM platforms such as Salesforce, Microsoft Dynamics, HubSpot and Zoho — transforming Sales, Recruitment, Customer Service and Executive Intelligence operations.Our objective is to build a catalogue of production-ready AI solutions and an AI Academy for enterprise deployment.We are now seeking an AI Subject Matter Expert (SME) to lead technical architecture, prototyping and deployment of AI agent systems.The RoleThis is a hands-on technical role. You will be responsible for: Designing and deploying enterprise-grade AI agent systems Building working prototypes and production-ready AI automations Selecting and implementing best-in-class AI models and frameworks Architecting multi-agent workflows Integrating AI into CRM and business systems Supporting the creation of modular AI solutions for repeatable deploymentThis is not a management-only role. We are looking for someone who actively builds.Key ResponsibilitiesAI Agent Design & DeploymentDesign, build and optimise: AI Sales Agents (SDR automation, lead qualification, CRM updates) AI Customer Service Agents (ticket triage, response drafting, sentiment analysis) AI Recruitment Agents (CV screening, candidate scoring, AI interviewers) AI Executive Insight Agents (KPI summaries, reporting automation)Experience required in: Multi-agent systems Tool / function calling Retrieval-Augmented Generation (RAG) Memory systems and vector databases Workflow orchestration for AI agentsLLM & Model ExperienceHands-on experience with: OpenAI ecosystem (production or prototype deployments) Anthropic Claude Google Gemini Azure OpenAI Open-source LLMs (Llama, Mistral or similar) Structured outputs and guardrails Model selection based on use case, latency and costCRM & System IntegrationsExperience integrating AI systems with: Salesforce (preferred but not essential) Microsoft Dynamics HubSpot ZohoUnderstanding of: REST APIs OAuth authentication Webhooks Automation tools (Make, Zapier, n8n or similar)Salesforce CRM Experience Is Preferred But Not Essential.AI Data & Knowledge ArchitectureExperience with: Vector databases (Pinecone, Weaviate, Chroma or similar) Knowledge retrieval systems Semantic data structuring Business data modelling for AI use casesConversational & Voice AIExperience with: Conversational AI frameworks AI voice agents Speech-to-text and text-to-speech systems Telephony or real-time AI integrationsGovernance & Responsible AIKnowledge of: Data governance principles Prompt injection mitigation AI monitoring and evaluation Responsible AI deploymentCandidate Requirements 12-24 months hands-on experience building AI agents or AI automation systems Proven working prototype examples of AI agents already built and deployed (must be able to demonstrate) Strong systems-thinking and architecture mindset Comfortable operating in a fast-moving innovation environment Commercial awareness and ability to translate technical solutions into business outcomesThis role is suited to a builder who has already created real AI agents and wants to scale that experience into enterprise-grade deployments.What You Will Help Build A full AI Agent Ecosystem A catalogue of modular AI automation solutions Enterprise-ready AI deployment frameworks AI training and enablement programmesIf you have already built AI agents and want to help architect and scale a dedicated AI Labs division, we would like to hear from you.Please apply with: Your LinkedIn profile A short summary of AI agents you have built Links, demos or documentation of prototype systems

Jul 7, 2026

AI/ML Engineer

DocuSketch

Software Development

Dubai, United Arab Emirates

Software Development

Full-time

The fastest-growing European SaaS company is searching for an AI/ML Engineer!⚠️ Before you apply:We require real 3D experience — meaning actual project work, not just listed skills. If 3D does not appear in your actual work history, this role is not for you.Applications that don't meet these criteria will be automatically rejected and may limit your eligibility for other DocuSketch roles.About DocuSketch:DocuSketch, with its European Headquarters in Potsdam, Germany, is a leading European software technology provider for the digital real estate economy. With our product brands Immoviewer and DocuSketch, we have become one of the most successful and fastest-growing software vendors in the rapidly expanding property tech sector. Our enthusiastic customer base is located across Europe and North America. DocuSketch's groundbreaking digital technology greatly facilitates real estate companies and building restoration companies to digitize, visualize, and virtualize real estate properties. Our solutions help our clients realize tremendous cost-saving potentials, process optimization, and revenue growth.You’ll be working in a team that drives the company's AI development to develop algorithms for a variety of different use cases. This includes, e.g., working with equirectangular, phone, or satellite images to detect doors, windows, or other objects inside of buildings or finding facets on the roof. You’ll be challenged by solving complex 3D geometry problems and working closely with our labeling team to ensure the best possible data quality.Responsibilities and Duties· Research, train and deploy state-of-the-art machine learning models for object detection and 3D perception on equirectangular images· Quickly prototype new ideas/technologies to create proof of concept and demosQualifications· Bachelor’s Degree in Computer Science or equivalent experience· Excellent math skills· Experience with 3D computer vision algorithms· Preferably 5+ years of experience developing and training machine learning models· Strong Experience with Deep ML frameworks (PyTorch)· Strong Experience in Python· Self-motivated and energetic team player with a strong work ethic and cooperative attitude· Excellent communication and organizational skillsPlus· Familiarity with building big data systems· Training very large models using multiple GPUs in the cloud· Experience with training machine learning models on equirectangular imagesWe are seeking a performance-driven, high-energy personality who has several years of experience in the field. Since you will work intensely with teams from many countries, a solid command of the English language is a prerequisite. We offer attractive compensation, unlimited career opportunities, and the possibility to work in one of the most exciting software companies in the industry. Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada.We look forward to receiving your application!

Jul 7, 2026

Lead AI Engineer

Auxo Talent

Technology, Information and Media, Data Infrastructure and Analytics, and Software Development

Dubai, United Arab Emirates

Technology, Information and Media, Data Infrastructure and Analytics, and Software Development

Full-time

Lead AI EngineerDubaiWe are supporting a leading enterprise organisation in building a new AI capability.We're looking for a hands-on AI/ML Engineer with experience taking AI solutions from POC through to production deployment.This role will focus on building scalable AI applications using GenAI, LLMs, RAG architectures, APIs, and modern AI frameworks.Key RequirementsStrong Python engineering backgroundExperience deploying AI/ML or GenAI solutions into productionHands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, etc.)Experience with cloud platforms (AWS, Azure, or GCP)Strong understanding of APIs, system design, and software engineering best practicesIdeal BackgroundAI Engineer, ML Engineer, Applied AI Engineer, GenAI Engineer, or Lead AI Engineer with a proven track record delivering production-grade AI systems.

Jul 7, 2026

AI Architect

N2S.Global

Software Development

Dubai, United Arab Emirates

Software Development

Full-time

AI Architect (12+ yrs)Role Overview:Define architecture and strategy for AI/GenAI platforms.Key Responsibilities:Define AI architecture (GenAI, ML, Agentic AI)Design multi-agent systemsEstablish standards & governanceLead architecture decisionsEnsure security & scalabilityEvaluate tools/frameworksProvide leadership & mentoringRequired Skills:AI/ML architecture expertiseLLMs, RAG, multi-agent systemsCloud ecosystems (AWS/Azure/GCP)Enterprise architectureData pipelines & ML lifecycleGood to Have:LangChain, LangGraphLarge-scale AI transformations

Jul 7, 2026

Data Scientist

HireAlpha

Banking, Financial Services, and IT Services and IT Consulting

Dubai, United Arab Emirates

Banking, Financial Services, and IT Services and IT Consulting

Full-time

Senior Fraud Data Scientist10+ Years Dubai UAE Banking or top-tier banking experience1.Work Experience (all are mandatory)Past experience in using SAS SFDBuilding fraud detection models using Machine Learning (ML)Model management and MLOPs2.Domain Knowledge: Fraud analytics for credit cards3.Key Technical Skills: SAS SFDPython & SQLMachine LearningCommunication skills: Must be strong enough to manage stakeholder requirementsPhD candidates will be preferred by clientRole PurposeThe Senior Data Scientist will lead the development, optimization, and deployment ofadvanced card fraud detection models for issuing and acquiring businesses. This roleinvolves end-to-end model lifecycle management, including training, hosting, evaluation,and deployment using SAS SFD and modern MLOps practices. The candidate will workclosely with fraud risk, data engineering, and technology teams to ensure robust,scalable, and high-performing solutions.Key Responsibilities● Card Fraud Model Development & Optimization: Design, develop, and optimize cardfraud detection models for issuing and acquiring portfolios. Implement advancedstatistical, machine learning, and AI techniques to improve fraud detection accuracyand precision and minimizing false positives.● Model Hosting & Deployment: Deploy models using SAS SFD and integrate withproduction systems. Ensure seamless hosting and scalability of models acrossmultiple environments.● MLOps & Automation: Establish and maintain MLOps pipelines for continuousintegration, deployment, and monitoring of fraud models. Automate model retrainingand performance tracking processes.● Evaluation & Testing: Conduct rigorous model validation, stress testing, andperformance benchmarking. Collaborate with fraud operations teams to ensuremodels meet business and regulatory requirements.● Collaboration & Stakeholder Management: Partner with fraud risk, data engineers, ITand business teams to deliver end-to-end solutions. Communicate insights andrecommendations to senior management and business stakeholders.Required Skills & Qualifications● Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, orrelated field.● Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL.Experience with machine learning frameworks (e.g., TensorFlow, PyTorch,Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniquesand transaction data.● Experience: 10+ years in data science roles, with at least 3 years in card fraudmodeling. Proven track record of deploying models in production environments.● Soft Skills: Strong analytical and problem-solving skills. Excellent communicationand stakeholder management abilities.Preferred Qualifications● Experience in banking or payments industry.● Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting anddeployment.● Knowledge of regulatory compliance in fraud risk management.

Jul 7, 2026

Senior Data Scientist - Dubai

RiskPod

Information Services

Dubai, United Arab Emirates

Information Services

Full-time

Senior Data ScientistMy client is looking for a Senior Data Scientist to join an innovative Product team focused on developing AI-powered products and transforming cutting-edge research into real-world business solutions. You'll design and build scalable end-to-end data science pipelines, extract insights from structured and unstructured datasets, and develop robust machine learning solutions for production environments.You'll evaluate and optimise AI models, monitor performance, benchmark outputs, and contribute to high-quality, secure, and scalable analytics applications. Working closely with data scientists, NLP specialists, and engineers, you'll help shape the next generation of AI products while supporting best practices across the team.The ideal candidate has 4+ years of experience in Data Science, Machine Learning or AI, strong Python skills, and hands-on experience with pandas, NumPy, scikit-learn, spaCy, LangChain, Transformers, SQL, FastAPI and Git. Experience with MLOps/LLMOps, vector databases, semantic search, Azure, Docker, Kubernetes, PySpark and cloud-based data platforms is highly desirable. A Master's degree is required, while a PhD and experience deploying deep learning models are advantageous.Please let me know if this would be of interest.

Jul 7, 2026

Quant AI Specialist

Boundless

Financial Services, Capital Markets, and Artificial Intelligence

Dubai, United Arab Emirates

Financial Services, Capital Markets, and Artificial Intelligence

Full-time

Company OverviewOur client, a global regulated financial services group with a strong presence across international markets, provides online trading and investment solutions across Forex, CFDs, commodities, indices, equities, and digital assets. The organisation is investing heavily in Artificial Intelligence, data transformation, automation, and advanced analytics to strengthen customer experience, operational performance, risk intelligence, and strategic decision-making.Role OverviewWe are seeking a Quant AI Specialist to apply quantitative research, machine learning, and artificial intelligence techniques to solve complex trading, risk management, pricing, and market analytics challenges.The successful candidate will combine expertise in financial markets with modern AI methodologies to develop predictive models, trading intelligence solutions, and advanced analytics that support business decision-making. This role requires a deep understanding of market dynamics, quantitative modeling, and the practical application of AI within electronic trading environments.Key ResponsibilitiesQuantitative Research & Market AnalyticsDevelop quantitative models to analyze market behavior, liquidity patterns, price movements, and trading activity.Conduct research on market microstructure, execution quality, client behavior, and trading performance.Design predictive models for volatility forecasting, market regime detection, and trading activity analysis.Identify opportunities to improve trading performance through data-driven insights and quantitative techniques.AI & Machine Learning ApplicationsApply machine learning algorithms to forecasting, anomaly detection, client analytics, and market intelligence use cases.Develop AI-driven models for market prediction, liquidity demand forecasting, and behavioral analysis.Build statistical and machine learning frameworks to detect unusual trading patterns and operational risks.Evaluate and implement Large Language Models (LLMs) and AI technologies for research automation and decision support.Risk & Performance AnalysisDevelop quantitative frameworks for exposure monitoring, profitability analysis, and risk forecasting.Support pricing, execution, and hedging optimization through advanced analytics.Produce actionable insights and recommendations based on quantitative research findings.Stakeholder EngagementCollaborate with business and technology stakeholders to identify opportunities for AI-driven innovation.Present research findings and model performance to senior management.Translate complex quantitative concepts into practical business recommendations.Technical RequirementsAdvanced Python programming skills for quantitative analysis and machine learning.Experience with machine learning frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.Strong understanding of statistical modeling, time-series analysis, forecasting, and predictive analytics.Experience working with financial market data, trading datasets, or large-scale transactional data.Strong SQL and data analysis skills.Familiarity with LLMs, Retrieval-Augmented Generation (RAG), and AI-assisted analytics.Experience with data visualization and reporting tools.QualificationsBachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Data Science, Computer Science, Economics, or a related field.4–8 years of experience in quantitative analysis, trading analytics, financial data science, or quantitative research.Strong understanding of financial markets, trading workflows, market structure, and risk management.Experience within brokerage, FX, CFDs, crypto, institutional trading, market-making, or fintech environments is highly desirable.Excellent analytical, communication, and problem-solving skills.

Jul 7, 2026

Staff Data Scientist (AI & ML)

talabat

Software Development and IT Services and IT Consulting

Dubai, Dubai, United Arab Emirates

Software Development and IT Services and IT Consulting

Full-time

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job DescriptionAs the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a Staff AI Scientist on the global AI hub, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.ResponsibilitiesLeveraging ambiguous business problems as opportunities to drive objective criteria using data.Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.Designing and implementing effective and impactful machine learning and generative AI systems in production.Developing a deep understanding of the product experiences and business processes that make up your area of focus.Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.Working closely with product and business teams to identify important questions that can be answered effectively with data.Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.Designing, planning, and analyzing experiments (A/B and multivariate tests).Supporting product and business managers with KPI design and goal setting.Mentoring other data scientists in their growth journeys.Contributing to improving our ways of working, our tooling, and our internal training programs.QualificationsRequirementsTechnical ExperienceExperience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).Excellent SQL.Competence with reproducible data analysis using Python or R.Familiarity with data modeling and dimensional design.Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.Familiarity with BigQuery and the Google Cloud Platform is a plus.Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.QualificationsBachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.7+ years of experience working in data science, machine learning, and Gen AI.Experience doing data science in an online consumer product setting is a plus.A good problem solver with a ‘figure it out’ growth mindset.An excellent collaborator.An excellent communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen.

Jul 7, 2026

Technical Product Manager - AI, Computer Vision, and Robotics

Emirates

Airlines and Aviation

Dubai, Dubai, United Arab Emirates

Airlines and Aviation

Full-time

Job PurposeJoin our Technical Product Management team, where we build effective technology products and services that our customers love. We offer a mix of B2B and B2C products and services in domains such as Digital, Airline and Airport Operations, Group Services, and Commercial. Our goal is to continuously evolve our products, enriching them with features that focus on delivering value to our customers and users. If you are passionate about creating impactful technology products and ensuring their success, we invite you to apply and contribute to the innovation and excellence at the Emirates Group.Support the delivery of technology products and solutions and ensure the effectiveness of all technology features aligned to the Product's vision and roadmap. Lead a team of Technical Product Owners (TPO) to understand, assess, and decompose prioritised initiatives into Technical Features within the engineering team backlogs, focusing on MVP (Minimum Viable Product).In This Role You WillLead the identification, evaluation, and delivery of AI computer vision and robotics solutions, translating business and operational requirements into scalable products that improve automation, operational efficiency, safety, and customer experience while ensuring alignment with enterprise architecture, governance, and business objectives.Collaborate with TPOs (technical product owners), peer groups, vendors, and other IT stakeholder groups to deliver ongoing and future Program Increment Planning (PIs), utilizing business value, assessment of available capacity, and effectively sequencing and prioritizing backlogs. Collaborate with architecture, engineering, and service management teams to ensure the overall backlogs are balanced to provide a scalable, user experience-optimized, stable, and performant technology product that continually meets business needs. Ensure Technical Debt, NFRs (Non-Functional Requirements), and System enablers are considered, captured, and cascaded to team backlogs. Participate in Sprint demos at the team level and assist in the preparation of system demos and other varied levels of involvement across a suite of Demos and Visual Release Notes at the team level. Engage in the preparation and delivery of PI demos to the stakeholder group via Inspect & Adapt workshops with the overall goal of driving increased use and adoption.Responsible for the quality and integrity of the data held in the Product Catalogue for your specific Product/s. Define a methodology for analysing and responding to target metrics and value post PI delivery, aiming to drive increased use and adoption of our technology products. Develop and mentor TPOs, supporting their professional development. Contribute to the TPM peer community in identifying and acting upon opportunities for Learning and Development, growth, and advancement. - Maintain the quality and integrity of the data held in the Product catalogue and features within the technical and team boundaries, ensure the identification and contribution of risks and dependencies and ensure appropriate team backlogs reflect any impact. Drive the partnership with applicable product vendors, ensuring timely feature/product upgrades, and maximising the product's efficiency and effectiveness. Minimise bespoke customisation and influence business process changes to best utilize vendor-supplied products.QualificationTo be considered for the role, you must meet the below requirements:Degree or Honours (12+3 or equivalent) Experience: Information Technology.Other 8+ Years Knowledge: Degree in a relevant domain, e.g. Operations Research, Marketing, Science, Information Systems, e-commerce.3 - 5 years of practical experience working as a Technical Product Manager or Product Owner Knowledge/skills focused on AI Computer Vision & Robotics.Well-versed in the tools for the technical product aspects of software delivery. Strong communication skills at peer, line, and stakeholder levels. Ability to lead by example using evidence, information, and data to empower people and lead changes. Demonstrated technical or domain expertise, utilising a depth and breadth of knowledge and practical experience within the areas below: Strong understanding of Computer Vision technologies, including image and video analytics, object detection, recognition, tracking, and real-time AI inference.Knowledge of robotics ecosystems, autonomous systems, robotic process integration, sensors, edge computing, and human-machine interaction principles.Demonstrated evidence of knowledge in the technical area and its applicationLeadership Role: YesSalary & benefitsJoin us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance, and more. 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

Jul 7, 2026

FIVE Hotels and Resorts

Hospitality

Dubai, Dubai, United Arab Emirates

Hospitality

Full-time

Job DescriptionAn Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry.Join the FIVE Tribe - and Get Ready to Make Waves.The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!What We’re Looking ForExperience0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fieldsHands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software developmentExposure to real-world business applications of AI, machine learning, analytics, or automation is preferredTechnical SkillsStrong proficiency in Python and SQL (mandatory)Solid understanding of data analysis, statistics, and machine learning fundamentalsFamiliarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)Experience working with APIs, structured and unstructured data sourcesUnderstanding of LLMs, AI agents, prompt engineering, and API-based AI workflowsBasic familiarity with cloud platforms (AWS preferred), including storage and compute servicesUnderstanding of data ingestion, ETL processes, and pipeline designKnowledge of data visualization and reporting tools is an advantageCore CompetenciesStrong analytical and problem-solving mindsetAbility to translate ambiguous business requirements into practical solutionsHigh attention to detail and commitment to data accuracyPragmatic approach to building scalable and maintainable solutionsStrong communication skills with both technical and non-technical stakeholdersCuriosity, adaptability, and eagerness to learn emerging AI technologiesWhat Makes This Role UniqueOpportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guestsExposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analyticsHigh ownership and visibility from the beginning of your careerStrong mentorship and accelerated learning environmentDirect impact on business performance, guest experience, and operational efficiencyPerformance KPIsSuccessful delivery of AI and data projectsAccuracy and reliability of data pipelines and modelsImprovement in automation and operational efficiencyQuality and performance of AI assistants and applicationsAdoption and business impact of deployed solutionsKey ResponsibilitiesAI & Data ApplicationsBuild and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud servicesDevelop AI-powered tools and assistants that improve operational efficiency and guest experiencesSupport the design and deployment of conversational AI solutions across web and messaging platformsCollaborate with business teams to identify opportunities for AI-driven automationData Engineering & PipelinesBuild, maintain, and optimize data pipelines for machine learning, analytics, and reportingCollect, clean, transform, and structure data from multiple internal and external sourcesEnsure data quality, consistency, and reliability across systemsSupport integration of APIs, cloud storage, and business platformsMachine Learning & Model EvaluationDevelop and test machine learning models for forecasting, personalization, and business optimizationEvaluate model performance using appropriate metrics, validation frameworks, and monitoring processesAssist in feature engineering, model tuning, and performance analysisMonitor deployed models and identify opportunities for continuous improvementBusiness Problem SolvingWork closely with stakeholders across reservations, marketing, revenue, and operations teamsTranslate business requirements into practical AI and data solutionsAnalyse complex datasets to uncover actionable insights and recommendationsSupport decision-making through data-driven analysis and reportingDocumentation & Continuous ImprovementWrite clean, maintainable, and reusable code following best practicesDocument technical processes, models, and system architecturesStay updated with emerging AI technologies, tools, and industry trendsContribute to the continuous improvement of data and AI capabilities across the organizationThe Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential.Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community.An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organizations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity.About FIVE Hotels And ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage.Find out more here: fivehotelsandresorts.comAbout FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.comJob DetailsRole Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.fivehotelsandresorts.com/ Job Function: Data Science & AI Company Industry/Sector: OtherWhat We OfferAbout The CompanySearching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.ReportDisclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Jul 7, 2026

Junior AI Engineer / Data Scientist Role

FIVE Hotels and Resorts

Hospitality

Dubai, Dubai, United Arab Emirates

Hospitality

Full-time

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry.Join the FIVE Tribe - and Get Ready to Make Waves.The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!What We’re Looking ForExperience0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fieldsHands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software developmentExposure to real-world business applications of AI, machine learning, analytics, or automation is preferredTechnical SkillsStrong proficiency in Python and SQL (mandatory)Solid understanding of data analysis, statistics, and machine learning fundamentalsFamiliarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)Experience working with APIs, structured and unstructured data sourcesUnderstanding of LLMs, AI agents, prompt engineering, and API-based AI workflowsBasic familiarity with cloud platforms (AWS preferred), including storage and compute servicesUnderstanding of data ingestion, ETL processes, and pipeline designKnowledge of data visualization and reporting tools is an advantageCore Competencies Strong analytical and problem-solving mindsetAbility to translate ambiguous business requirements into practical solutionsHigh attention to detail and commitment to data accuracyPragmatic approach to building scalable and maintainable solutions Strong communication skills with both technical and non-technical stakeholders Curiosity, adaptability, and eagerness to learn emerging AI technologiesWhat Makes This Role UniqueOpportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guestsExposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analyticsHigh ownership and visibility from the beginning of your careerStrong mentorship and accelerated learning environmentDirect impact on business performance, guest experience, and operational efficiencyPerformance KPIs Successful delivery of AI and data projects Accuracy and reliability of data pipelines and modelsImprovement in automation and operational efficiencyQuality and performance of AI assistants and applications Adoption and business impact of deployed solutionsKey ResponsibilitiesAI & Data Applications Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services Develop AI-powered tools and assistants that improve operational efficiency and guest experiencesSupport the design and deployment of conversational AI solutions across web and messaging platformsCollaborate with business teams to identify opportunities for AI-driven automationData Engineering & PipelinesBuild, maintain, and optimize data pipelines for machine learning, analytics, and reporting Collect, clean, transform, and structure data from multiple internal and external sourcesEnsure data quality, consistency, and reliability across systemsSupport integration of APIs, cloud storage, and business platformsMachine Learning & Model EvaluationDevelop and test machine learning models for forecasting, personalization, and business optimization Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processesAssist in feature engineering, model tuning, and performance analysis Monitor deployed models and identify opportunities for continuous improvementBusiness Problem SolvingWork closely with stakeholders across reservations, marketing, revenue, and operations teamsTranslate business requirements into practical AI and data solutionsAnalyse complex datasets to uncover actionable insights and recommendations Support decision-making through data-driven analysis and reportingDocumentation & Continuous Improvement Write clean, maintainable, and reusable code following best practicesDocument technical processes, models, and system architecturesStay updated with emerging AI technologies, tools, and industry trendsContribute to the continuous improvement of data and AI capabilities across the organizationThe Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential.Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community.An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organizations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity.About FIVE Hotels And ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage.Find out more here: fivehotelsandresorts.comAbout FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.com

Jul 7, 2026

AI Specialist

Ultiwise Consult

Visa Sponsor

Dubai, United Arab Emirates

AI Engineering

Full-time

AED 10000 per month

python

AI Implementation Specialist Department: Technology / Operations Reports To: IT HEAD/ COO/CEO Employment Type: Full-Time ________________________________________ About the Role We are looking for a curious, tech-savvy, and proactive AI Implementation Specialist to help drive the company's AI and automation initiatives. This is a hands-on, execution-focused role where you will work closely with different teams to identify manual, repetitive workflows and transform them using AI-powered tools and automation. No team of your own to manage — just real impact through real projects. This is a great opportunity for someone early in their career who is passionate about AI and wants to be at the forefront of how businesses use it day-to-day. ________________________________________ Key Responsibilities AI Project Support & Execution • Assist in the planning, coordination, and execution of AI projects from kick-off to deployment. • Research and evaluate AI tools, platforms, and solutions that fit specific business needs. • Work with vendors and internal stakeholders to integrate AI tools into existing systems and workflows. • Document project progress, timelines, and outcomes to keep stakeholders informed. Workflow Automation • Conduct walkthroughs with department teams (Finance, Purchasing, Operations, Sales, Logistics, etc.) to understand and map out manual processes. • Identify tasks suitable for automation and propose practical AI-driven solutions. • Build and deploy automations using no-code/low-code tools such as Make (Integromat), Zapier, Microsoft Power Automate, or similar platforms. • Monitor and maintain deployed automations, troubleshooting issues and making improvements over time. AI Tools Adoption • Help onboard employees onto new AI tools through simple guides, walkthroughs, and hands-on support. • Act as an internal resource and first point of contact for questions related to AI tools in use. • Stay up to date on new AI tools and use cases, and share relevant findings with the team. Reporting & Documentation • Track key metrics such as time saved, error reduction, and adoption rates for implemented solutions. • Maintain clear documentation of all automations, integrations, and AI workflows. • Prepare simple reports and updates for management on project status and results. ________________________________________ Requirements Must-Have • 1–3 years of experience in a tech, operations, or process improvement role. • Hands-on experience with at least one automation or no-code tool (e.g., Zapier, Make, Power Automate, Notion AI, etc.). • Comfortable using and exploring AI tools (e.g., ChatGPT, Claude, Gemini, or similar). • Strong attention to detail and ability to document processes clearly. • Good communication skills — able to explain tech concepts simply to non-technical colleagues. • Self-starter attitude with a willingness to learn and figure things out. Nice-to-Have • Exposure to basic scripting or programming (Python, JavaScript) — not required but a plus. • Familiarity with project management tools (Asana, Jira, Notion, Trello). • Experience working across multiple departments or in a cross-functional environment. • Understanding of prompt engineering or working with LLM-based tools. ________________________________________ Success Metrics • Number of manual workflows successfully automated within the first 6–12 months. • Time savings and efficiency gains reported by teams using automated processes. • Employee adoption and satisfaction with AI tools introduced. • Quality and completeness of process documentation maintained. ________________________________________

Apr 23, 2026

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