Data Scientist Jobs

Position OverviewData Analytics Manager in Dubai UAE with Al-Futtaim supports insurance analytics and business intelligence initiatives by transforming complex data into actionable insights. The role focuses on predictive modeling, pricing optimization, risk analysis, and data governance to improve underwriting performance, claims management, and customer lifecycle outcomes.Country: UAE City: Dubai Industry: Insurance Function: Analyst Salary: monthly (Market estimated) Gender: Any Candidate Nationality: Any Job Type: Full-timeKey ResponsibilitiesBuild and lead a high-performing team of data analysts and data scientists focused on insurance analytics and advanced modelingDevelop and implement an enterprise analytics roadmap supporting property and casualty insurance business goalsDesign predictive models for customer churn analysis, fraud detection, and risk segmentationCollaborate closely with underwriting, actuarial, and product teams to ensure analytics models align with regulatory requirements and business strategyMaintain strong data governance practices ensuring accuracy and reliability of policyholder and claims dataDevelop executive dashboards and reporting tools to track business KPIs such as combined ratio, retention rates, and new policy growthLead development of advanced analytics models including machine learning algorithms and generalized linear models for pricing and risk assessmentManage insurance data lakes and large-scale datasets used for actuarial analysis and business intelligenceTranslate complex analytical insights into practical recommendations for business leadersIdentify opportunities to enhance customer lifecycle management through data-driven strategiesIdeal ProfileEight or more years of experience in data analytics, business intelligence, or data science roles within the insurance sectorStrong knowledge of predictive modeling, machine learning, and advanced statistical analysis techniquesExperience working with insurance datasets such as claims history, policyholder data, and catastrophe modeling dataAbility to collaborate with underwriting, actuarial, and product teams on data-driven decision makingStrong analytical thinking and ability to communicate insights to business stakeholdersSkills SetPredictive analytics and statistical modelingMachine learning and risk analytics for insuranceData lake architecture and big data processingBusiness intelligence dashboards and KPI reportingCloud data platforms such as AWS, Azure, or Google CloudData governance and data quality managementAdvanced analytics tools and programming for large datasetsWhy Join UsOpportunity to lead advanced analytics initiatives within a leading regional insurance organizationWork on high-impact projects including pricing optimization, fraud detection, and risk analyticsCollaborative environment integrating data science with insurance operationsExposure to enterprise data platforms and cloud analytics infrastructureCompetitive compensation and strong career development opportunitiesAbout the CompanyOrient Insurance Company is a leading insurance provider in the UAE and part of the Al-Futtaim Group. Established in 1982, the company has built a strong reputation for financial stability and customer-focused insurance services across the Middle East. With its headquarters in Dubai and an extensive network of branches across the UAE and the Gulf region, Orient Insurance continues to deliver innovative insurance products and risk solutions for individuals and businesses.

AI Engineering, Intern (Dubai / Riyadh)Description & RequirementsWe are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU WILL WORK WITHBain's AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You'll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture, and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.WHERE YOU'LL FIT WITHIN THE TEAMThe AI Engineering Intern will contribute to the design and development of generative AI applications and agentic solutions for Bain's clients. Working alongside experienced engineers, consultants, and data scientists, you will gain hands‑on exposure to the full AI development lifecycle-from early prototyping through to production-ready deployment. This is a learning‑first role: you will grow through real project work, close mentorship, frequent feedback, and increasing responsibility over time.Bain offers significant learning and growth opportunities through our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time Bain works with clients on board-level and executive priorities. As an intern, you will build the technical core of transformations and help move solutions from prototype to real adoption. You will have opportunities to collaborate with major AI ecosystem partners through Bain's partnerships, contributing to real client deployments and shaping how emerging capabilities are applied in enterprise settings.WHAT YOU'LL DOContribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.Support the implementation of AI pipelines and components, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Assist in implementing tool use, function calling, and orchestration across AI workflowsAssist in building agent capabilities including context engineering, memory and state management, orchestration, and tool integrationSupport model experimentation, evaluation design, and production deployment tasks alongside senior team membersWrite clean, testable code and contribute to APIs and services through the full SDLC: build, test, deploy, monitor, iterateContribute to evaluation and observability for GenAI systems: regression test suites, automated scoring, and prompt or policy iteration loopsGain exposure to responsible AI practices across system design, including:Implementing guardrails, fallbacks, and human-in-the-loop (HITL) workflowsUnderstanding Bain's Responsible AI standards and supporting alignment in your workContribute to evaluation harnesses and reusable components that scale across client contextsContribute to ML solutions end-to-end, including:Data preparation, feature engineering, model selection, and trainingValidation, testing, and performance analysisApplying appropriate ML methods spanning classical ML and deep learningDeveloping working knowledge of transformer fundamentals and LLM conceptsCollaborate with product, engineering, and data science teammates to build well-structured, reliable AI systemsCommunicate clearly in working sessions, demos, and documentation-with both technical and non-technical audiencesSupport client discussions and documentation as part of broader engagement teamsABOUT YOU0-2+ years of professional AI / ML engineering experience, or equivalent through internships, research, academic projects, or open-source contributionsCurrently pursuing or recently completed a bachelor's, master's, or PhD in CS, ML, AI, Data Science, Engineering, or a related quantitative field; or equivalent early-career experienceStrong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributionsProficiency in Python and some experience building APIs or services (e.g., REST/gRPC), or comparable project-based experienceExperience building complex, multi-stack generative AI programs from conception through productionExposure to retrieval and search systems (e.g., vector search, hybrid retrieval, reranking) and familiarity with structured and unstructured data storesExposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands‑on experience preferredStrong engineering practices: testing, code review, version control, CI/CD, and performance profilingExcellent interpersonal and communication skills; interest in applying AI to real-world business problems in a client-facing environmentFluency in English and Arabic is requiredWorking Model & TravelThis role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs. #J-18808-Ljbffr

Al-Futtaim is seeking a Manager Data Science – Operations to join its Digital Technology and Customer Experience team in Dubai. You will lead AI and data science initiatives to lift operational efficiency and inform strategic decisions.Responsibilities include delivering use cases across the business, building predictive models for pricing, maintenance and churn, and developing KPI dashboards. You will mentor data scientists and partner with cross-functional stakeholders. #J-18808-Ljbffr

HealthHub is looking for a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its corporate operations in Dubai, United Arab Emirates. This opportunity is designed for data professionals who already have practical experience working with healthcare information and understand how hospitals, clinics, medical centres, insurance organizations, or healthcare groups operate. The position combines healthcare analytics, data science, machine learning, business intelligence, reporting, and operational performance analysis. Candidates should be capable of turning complex healthcare datasets into meaningful insights that support better clinical, operational, and business decisions. Job Overview The Healthcare Data Scientist will analyze healthcare information and develop reports, dashboards, predictive models, and recommendations for different areas of the organization. The role requires collaboration with clinical leaders and teams working across operations, finance, quality, revenue cycle management, and other corporate functions. A strong combination of healthcare-domain knowledge and technical expertise is important. Candidates should be comfortable working with technologies such as Power BI, Tableau, SQL, Python, and/or R. Who Is This Position Suitable For? This vacancy is particularly relevant to candidates who have previously worked with data within healthcare environments such as: HospitalsClinicsMedical centresHealthcare groupsHealthcare providersHealth insurance organizations Candidates whose professional background is primarily in general business intelligence, academic research, or laboratory-based analytics without practical healthcare data experience may not meet the requirements of this position. Key Responsibilities Healthcare Data Analysis Analyze a variety of healthcare datasets to identify trends, performance gaps, risks, and opportunities for improvement. The datasets may include information related to: Clinical activitiesPatient visits and activityHealthcare utilizationInsurance claimsPharmacy operationsRevenue cycle performanceFinancial performanceOperational activities Translate analytical findings into practical recommendations that can help improve healthcare operations, resource utilization, service quality, and patient outcomes. Business Intelligence and Dashboard Development Develop and maintain interactive dashboards using Power BI and Tableau. Create meaningful reports for clinical, operational, financial, and management teams. Prepare executive-level performance summaries that clearly communicate important findings, trends, KPIs, and areas requiring management attention. Regularly monitor healthcare performance indicators and identify opportunities for operational improvement. Predictive Analytics and Data Science Use statistical analysis and data science methodologies to investigate complex healthcare problems. Develop, test, and evaluate predictive models that can support healthcare planning and decision-making. Analytics may support areas such as patient utilization forecasting, revenue cycle performance, healthcare demand planning, operational forecasting, and patient pathway optimization. Where appropriate, apply machine learning techniques to improve predictions and generate deeper insights from healthcare data. Clinical and Operational Performance Work with healthcare teams to understand operational challenges and determine how data can support better decisions. Provide analytical support for initiatives designed to improve patient services, healthcare utilization, operational efficiency, financial performance, and quality outcomes. Convert complex analytical findings into information that can be easily understood by both technical and non-technical stakeholders. Healthcare Data Governance Support initiatives focused on healthcare data accuracy, consistency, integration, security, and governance. Candidates should understand or have exposure to important healthcare terminology and interoperability standards, including: ICD-10, ICD-11, CPT, SNOMED CT, HL7 and FHIR. The role also requires awareness of healthcare data privacy, governance, and regulatory requirements applicable within the UAE. Essential Qualifications Applicants should hold a Bachelor’s Degree in one of the following or a closely related discipline: Data ScienceStatisticsComputer ScienceHealth InformaticsBiomedical Engineering Other relevant technical or analytical qualifications may also be considered depending on professional experience. Experience Requirements Candidates should have at least 2 years of experience working with healthcare datasets. Practical experience within a hospital, clinic, healthcare group, medical centre, healthcare provider, or health insurance organization is particularly important for this position. Applicants are also expected to be currently residing in the UAE. Technical Skills Candidates should demonstrate strong practical knowledge of: Power BITableauSQLPython and/or RHealthcare analyticsData visualizationStatistical analysisDashboard developmentExecutive reportingOperational KPI reportingData quality and governance Experience working directly with clinical data, electronic health records (EHR), insurance claims, revenue cycle information, pharmacy data, and patient activity datasets would be highly relevant. Preferred Skills and Experience Additional experience in the following areas could strengthen a candidate’s suitability: Predictive modellingMachine learningHealthcare forecastingRevenue cycle analyticsHealth insurance analyticsClinical analyticsHealthcare utilization analysisNABIDHDHA healthcare data ecosystemICD-10/ICD-11CPTSNOMED CTHL7FHIR Communication and Stakeholder Management Technical expertise alone is not enough for this position. The Healthcare Data Scientist will need to communicate analytical findings to stakeholders with different levels of technical knowledge. Strong presentation, communication, and stakeholder-management skills are therefore important. Candidates should be comfortable explaining complex data findings to clinical leaders, operations teams, finance professionals, quality teams, and senior management. Ideal Candidate Profile A strong candidate for this opportunity would combine practical healthcare experience with advanced analytical capabilities. The position may be particularly suitable for healthcare data analysts, BI professionals, health informatics specialists, or data scientists who have already worked with real-world hospital, clinic, insurance, or healthcare-provider datasets. Experience using data to solve practical healthcare problems rather than purely academic or theoretical analysis is especially relevant. Job Details Job Title: Healthcare Data Scientist - Clinical Analytics & Business IntelligenceCompany: HealthHubLocation: Dubai, United Arab EmiratesWork Location: HealthHub Corporate OfficeIndustry: HealthcareMinimum Experience: 2+ years with healthcare datasetsLocation Requirement: Candidate should currently reside in the UAEQualification: Bachelor’s Degree in a relevant discipline Important Information for Applicants Before applying, candidates should carefully review the employer’s official eligibility requirements. Pay particular attention to the requirement for previous healthcare data experience and current UAE residency. Recruitment requirements, responsibilities, and vacancy availability can change, so applicants should verify the latest information through the official employer recruitment platform before submitting an application. #J-18808-Ljbffr

HealthHub is looking for a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its corporate operations in Dubai, United Arab Emirates. This opportunity is designed for data professionals who already have practical experience working with healthcare information and understand how hospitals, clinics, medical centres, insurance organizations, or healthcare groups operate. The position combines healthcare analytics, data science, machine learning, business intelligence, reporting, and operational performance analysis. Candidates should be capable of turning complex healthcare datasets into meaningful insights that support better clinical, operational, and business decisions. Job Overview The Healthcare Data Scientist will analyze healthcare information and develop reports, dashboards, predictive models, and recommendations for different areas of the organization. The role requires collaboration with clinical leaders and teams working across operations, finance, quality, revenue cycle management, and other corporate functions. A strong combination of healthcare-domain knowledge and technical expertise is important. Candidates should be comfortable working with technologies such as Power BI, Tableau, SQL, Python, and/or R. Who Is This Position Suitable For? This vacancy is particularly relevant to candidates who have previously worked with data within healthcare environments such as: HospitalsClinicsMedical centresHealthcare groupsHealthcare providersHealth insurance organizations Candidates whose professional background is primarily in general business intelligence, academic research, or laboratory-based analytics without practical healthcare data experience may not meet the requirements of this position. Key Responsibilities Healthcare Data Analysis Analyze a variety of healthcare datasets to identify trends, performance gaps, risks, and opportunities for improvement. The datasets may include information related to: Clinical activitiesPatient visits and activityHealthcare utilizationInsurance claimsPharmacy operationsRevenue cycle performanceFinancial performanceOperational activities Translate analytical findings into practical recommendations that can help improve healthcare operations, resource utilization, service quality, and patient outcomes. Business Intelligence and Dashboard Development Develop and maintain interactive dashboards using Power BI and Tableau. Create meaningful reports for clinical, operational, financial, and management teams. Prepare executive-level performance summaries that clearly communicate important findings, trends, KPIs, and areas requiring management attention. Regularly monitor healthcare performance indicators and identify opportunities for operational improvement. Predictive Analytics and Data Science Use statistical analysis and data science methodologies to investigate complex healthcare problems. Develop, test, and evaluate predictive models that can support healthcare planning and decision-making. Analytics may support areas such as patient utilization forecasting, revenue cycle performance, healthcare demand planning, operational forecasting, and patient pathway optimization. Where appropriate, apply machine learning techniques to improve predictions and generate deeper insights from healthcare data. Clinical and Operational Performance Work with healthcare teams to understand operational challenges and determine how data can support better decisions. Provide analytical support for initiatives designed to improve patient services, healthcare utilization, operational efficiency, financial performance, and quality outcomes. Convert complex analytical findings into information that can be easily understood by both technical and non-technical stakeholders. Healthcare Data Governance Support initiatives focused on healthcare data accuracy, consistency, integration, security, and governance. Candidates should understand or have exposure to important healthcare terminology and interoperability standards, including: ICD-10, ICD-11, CPT, SNOMED CT, HL7 and FHIR. The role also requires awareness of healthcare data privacy, governance, and regulatory requirements applicable within the UAE. Essential Qualifications Applicants should hold a Bachelor’s Degree in one of the following or a closely related discipline: Data ScienceStatisticsComputer ScienceHealth InformaticsBiomedical Engineering Other relevant technical or analytical qualifications may also be considered depending on professional experience. Experience Requirements Candidates should have at least 2 years of experience working with healthcare datasets. Practical experience within a hospital, clinic, healthcare group, medical centre, healthcare provider, or health insurance organization is particularly important for this position. Applicants are also expected to be currently residing in the UAE. Technical Skills Candidates should demonstrate strong practical knowledge of: Power BITableauSQLPython and/or RHealthcare analyticsData visualizationStatistical analysisDashboard developmentExecutive reportingOperational KPI reportingData quality and governance Experience working directly with clinical data, electronic health records (EHR), insurance claims, revenue cycle information, pharmacy data, and patient activity datasets would be highly relevant. Preferred Skills and Experience Additional experience in the following areas could strengthen a candidate’s suitability: Predictive modellingMachine learningHealthcare forecastingRevenue cycle analyticsHealth insurance analyticsClinical analyticsHealthcare utilization analysisNABIDHDHA healthcare data ecosystemICD-10/ICD-11CPTSNOMED CTHL7FHIR Communication and Stakeholder Management Technical expertise alone is not enough for this position. The Healthcare Data Scientist will need to communicate analytical findings to stakeholders with different levels of technical knowledge. Strong presentation, communication, and stakeholder-management skills are therefore important. Candidates should be comfortable explaining complex data findings to clinical leaders, operations teams, finance professionals, quality teams, and senior management. Ideal Candidate Profile A strong candidate for this opportunity would combine practical healthcare experience with advanced analytical capabilities. The position may be particularly suitable for healthcare data analysts, BI professionals, health informatics specialists, or data scientists who have already worked with real-world hospital, clinic, insurance, or healthcare-provider datasets. Experience using data to solve practical healthcare problems rather than purely academic or theoretical analysis is especially relevant. Job Details Job Title: Healthcare Data Scientist - Clinical Analytics & Business IntelligenceCompany: HealthHubLocation: Dubai, United Arab EmiratesWork Location: HealthHub Corporate OfficeIndustry: HealthcareMinimum Experience: 2+ years with healthcare datasetsLocation Requirement: Candidate should currently reside in the UAEQualification: Bachelor’s Degree in a relevant discipline Important Information for Applicants Before applying, candidates should carefully review the employer’s official eligibility requirements. Pay particular attention to the requirement for previous healthcare data experience and current UAE residency. Recruitment requirements, responsibilities, and vacancy availability can change, so applicants should verify the latest information through the official employer recruitment platform before submitting an application. #J-18808-Ljbffr

HealthHub seeks a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its Dubai, United Arab Emirates operations. You will analyze healthcare data, build dashboards, and develop predictive models to support clinical and operational decisions.The role combines healthcare analytics, BI, and data science, requiring collaboration with clinical leaders across operations, finance, quality, and revenue cycle management. #J-18808-Ljbffr

We are looking for an AI Technical Lead / AI Solution Architect for a leading Fintech company based in Dubai. Location - Dubai, UAE Salary - 45,000 AED/month + Benefits Qualifications & Experience: 14+ years of overall IT experience, including at least 5 years of relevant experience across Artificial Intelligence, Machine Learning, and/or Data Science. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline. Strong recent hands-on experience with Agentic AI, ideally using LangChain and/or LangGraph. Proven experience designing, architecting, and delivering enterprise AI/ML solutions into production environments. Strong technical knowledge of Machine Learning, Data Science, Generative AI, Large Language Models (LLMs), and modern AI architectures. Advanced Python development skills with the ability to remain technically hands-on while operating at a senior architecture and leadership level. Proven experience in AI solution architecture, systems integration, and enterprise application environments. Demonstrated experience technically leading, mentoring, and guiding teams of AI Developers and Data Scientists. Strong understanding of the complete AI/ML development, deployment, monitoring, and optimisation lifecycle. Experience implementing or supporting MLOps and LLMOps practices within production environments. Strong understanding of AI governance, security, responsible AI, data privacy, and risk management principles. Experience with Azure AI technologies and cloud-based AI architectures is highly desirable. Experience designing high-volume and/or real-time AI solutions is advantageous. Exposure to Computer Vision technologies and use cases is beneficial. Previous experience within government, regulated, or similarly complex enterprise environments is highly desirable. Excellent analytical, architectural, problem-solving, and technical decision-making capabilities. Strong stakeholder management skills with the ability to communicate complex technical concepts effectively to both technical and non-technical audiences. Excellent written and verbal communication skills in English. Arabic language skills are advantageous but not mandatory. Must be able to work fully onsite in Dubai, UAE. Key Responsibilities: Design and architect scalable, secure, and production-ready AI and Machine Learning solutions for complex enterprise environments. Lead the technical design, development, and implementation of Generative AI, Large Language Model (LLM), and Agentic AI solutions. Design and orchestrate AI-driven workflows using Agentic AI frameworks such as LangChain and LangGraph. Provide hands‑on technical leadership, direction, and guidance to AI Developers and Data Scientists. Define AI solution architecture, technical standards, integration patterns, and deployment approaches across enterprise systems. Develop and review AI solutions using Python, ensuring code quality, scalability, maintainability, and technical best practices. Conduct technical and architectural reviews across AI/ML projects and identify opportunities for optimisation. Support the implementation and continuous improvement of MLOps and LLMOps practices for deploying, monitoring, maintaining, and scaling AI solutions. Lead technical decision‑making throughout the end‑to‑end AI/ML development lifecycle, from solution design and prototyping through to production deployment. Mentor AI Developers and Data Scientists, supporting technical development and promoting engineering best practices. Collaborate with technical, business, and senior stakeholders to understand requirements and translate them into effective AI solutions. Ensure AI solutions appropriately address governance, security, privacy, responsible AI, and regulatory considerations. Support the architecture and delivery of high-volume, real‑time, and business‑critical AI applications. Evaluate emerging AI technologies, frameworks, tools, and methodologies and recommend their adoption where appropriate. Support the integration of AI capabilities with existing enterprise applications, data platforms, APIs, and cloud environments. Contribute to the organisation's wider AI strategy, technical roadmap, architecture standards, and innovation initiatives. About the Role: We are seeking an experienced AI Technical Lead / AI Solution Architect to join a leading technology organisation in Dubai and provide technical leadership across the design, architecture, and delivery of enterprise‑scale AI solutions. This is a senior, technically focused position suited to an accomplished technology professional with extensive experience across AI, Machine Learning, and Data Science, combined with strong recent exposure to Generative AI, Large Language Models (LLMs), and Agentic AI. The successful candidate will provide technical direction to a team of AI Developers and Data Scientists while remaining hands‑on across solution architecture, development, integration, and deployment. You will play a key role in building scalable, production‑ready AI solutions and establishing best practices across the full AI development lifecycle. •

Job Description: We are looking for an AI Technical Lead / AI Solution Architect for a leading Fintech company based in Dubai. Location – Dubai, UAE Salary – 45,000 AED/month + Benefits Qualifications & Experience: 14+ years of overall IT experience, including at least 5 years of relevant experience across Artificial Intelligence, Machine Learning, and/or Data Science. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline. Strong recent hands‐on experience with Agentic AI, ideally using LangChain and/or LangGraph. Proven experience designing, architecting, and delivering enterprise AI/ML solutions into production environments. Strong technical knowledge of Machine Learning, Data Science, Generative AI, Large Language Models (LLMs), and modern AI architectures. Advanced Python development skills with the ability to remain technically hands‐on while operating at a senior architecture and leadership level. Proven experience in AI solution architecture, systems integration, and enterprise application environments. Demonstrated experience technically leading, mentoring, and guiding teams of AI Developers and Data Scientists. Strong understanding of the complete AI/ML development, deployment, monitoring, and optimisation lifecycle. Experience implementing or supporting MLOps and LLMOps practices within production environments. Strong understanding of AI governance, security, responsible AI, data privacy, and risk management principles. Experience with Azure AI technologies and cloud-based AI architectures is highly desirable. Experience designing high-volume and/or real-time AI solutions is advantageous. Exposure to Computer Vision technologies and use cases is beneficial. Previous experience within government, regulated, or similarly complex enterprise environments is highly desirable. Excellent analytical, architectural, problem‐solving, and technical decision‐making capabilities. Strong stakeholder management skills with the ability to communicate complex technical concepts effectively to both technical and non‐technical audiences. Excellent written and verbal communication skills in English. Arabic language skills are advantageous but not mandatory. Must be able to work fully onsite in Dubai, UAE. Key Responsibilities: Design and architect scalable, secure, and production‐ready AI and Machine Learning solutions for complex enterprise environments. Lead the technical design, development, and implementation of Generative AI, Large Language Model (LLM), and Agentic AI solutions. Design and orchestrate AI‐driven workflows using Agentic AI frameworks such as LangChain and LangGraph. Provide hands‐on technical leadership, direction, and guidance to AI Developers and Data Scientists. Define AI solution architecture, technical standards, integration patterns, and deployment approaches across enterprise systems. Develop and review AI solutions using Python, ensuring code quality, scalability, maintainability, and technical best practices. Conduct technical and architectural reviews across AI/ML projects and identify opportunities for optimisation. Support the implementation and continuous improvement of MLOps and LLMOps practices for deploying, monitoring, maintaining, and scaling AI solutions. Lead technical decision‐making throughout the end‐to‐end AI/ML development lifecycle, from solution design and prototyping through to production deployment. Mentor AI Developers and Data Scientists, supporting technical development and promoting engineering best practices. Collaborate with technical, business, and senior stakeholders to understand requirements and translate them into effective AI solutions. Ensure AI solutions appropriately address governance, security, privacy, responsible AI, and regulatory considerations. Support the architecture and delivery of high‐volume, real‐time, and business‐critical AI applications. Evaluate emerging AI technologies, frameworks, tools, and methodologies and recommend their adoption where appropriate. Support the integration of AI capabilities with existing enterprise applications, data platforms, APIs, and cloud environments. Contribute to the organisation's wider AI strategy, technical roadmap, architecture standards, and innovation initiatives. About the Role: We are seeking an experienced AI Technical Lead / AI Solution Architect to join a leading technology organisation in Dubai and provide technical leadership across the design, architecture, and delivery of enterprise‐scale AI solutions. This is a senior, technically focused position suited to an accomplished technology professional with extensive experience across AI, Machine Learning, and Data Science, combined with strong recent exposure to Generative AI, Large Language Models (LLMs), and Agentic AI. The successful candidate will provide technical direction to a team of AI Developers and Data Scientists while remaining hands‐on across solution architecture, development, integration, and deployment. You will play a key role in building scalable, production‐ready AI solutions and establishing best practices across the full AI development lifecycle.

We are looking for an AI Technical Lead / AI Solution Architect for a leading Fintech company based in Dubai. Location - Dubai, UAE Salary - 45,000 AED/month + Benefits Qualifications & Experience: 14+ years of overall IT experience, including at least 5 years of relevant experience across Artificial Intelligence, Machine Learning, and/or Data Science. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline. Strong recent hands-on experience with Agentic AI, ideally using LangChain and/or LangGraph. Proven experience designing, architecting, and delivering enterprise AI/ML solutions into production environments. Strong technical knowledge of Machine Learning, Data Science, Generative AI, Large Language Models (LLMs), and modern AI architectures. Advanced Python development skills with the ability to remain technically hands-on while operating at a senior architecture and leadership level. Proven experience in AI solution architecture, systems integration, and enterprise application environments. Demonstrated experience technically leading, mentoring, and guiding teams of AI Developers and Data Scientists. Strong understanding of the complete AI/ML development, deployment, monitoring, and optimisation lifecycle. Experience implementing or supporting MLOps and LLMOps practices within production environments. Strong understanding of AI governance, security, responsible AI, data privacy, and risk management principles. Experience with Azure AI technologies and cloud-based AI architectures is highly desirable. Experience designing high-volume and/or real-time AI solutions is advantageous. Exposure to Computer Vision technologies and use cases is beneficial. Previous experience within government, regulated, or similarly complex enterprise environments is highly desirable. Excellent analytical, architectural, problem-solving, and technical decision-making capabilities. Strong stakeholder management skills with the ability to communicate complex technical concepts effectively to both technical and non-technical audiences. Excellent written and verbal communication skills in English. Arabic language skills are advantageous but not mandatory. Must be able to work fully onsite in Dubai, UAE. Key Responsibilities: Design and architect scalable, secure, and production-ready AI and Machine Learning solutions for complex enterprise environments. Lead the technical design, development, and implementation of Generative AI, Large Language Model (LLM), and Agentic AI solutions. Design and orchestrate AI-driven workflows using Agentic AI frameworks such as LangChain and LangGraph. Provide hands‑on technical leadership, direction, and guidance to AI Developers and Data Scientists. Define AI solution architecture, technical standards, integration patterns, and deployment approaches across enterprise systems. Develop and review AI solutions using Python, ensuring code quality, scalability, maintainability, and technical best practices. Conduct technical and architectural reviews across AI/ML projects and identify opportunities for optimisation. Support the implementation and continuous improvement of MLOps and LLMOps practices for deploying, monitoring, maintaining, and scaling AI solutions. Lead technical decision‑making throughout the end‑to‑end AI/ML development lifecycle, from solution design and prototyping through to production deployment. Mentor AI Developers and Data Scientists, supporting technical development and promoting engineering best practices. Collaborate with technical, business, and senior stakeholders to understand requirements and translate them into effective AI solutions. Ensure AI solutions appropriately address governance, security, privacy, responsible AI, and regulatory considerations. Support the architecture and delivery of high-volume, real‑time, and business‑critical AI applications. Evaluate emerging AI technologies, frameworks, tools, and methodologies and recommend their adoption where appropriate. Support the integration of AI capabilities with existing enterprise applications, data platforms, APIs, and cloud environments. Contribute to the organisation's wider AI strategy, technical roadmap, architecture standards, and innovation initiatives. About the Role: We are seeking an experienced AI Technical Lead / AI Solution Architect to join a leading technology organisation in Dubai and provide technical leadership across the design, architecture, and delivery of enterprise‑scale AI solutions. This is a senior, technically focused position suited to an accomplished technology professional with extensive experience across AI, Machine Learning, and Data Science, combined with strong recent exposure to Generative AI, Large Language Models (LLMs), and Agentic AI. The successful candidate will provide technical direction to a team of AI Developers and Data Scientists while remaining hands‑on across solution architecture, development, integration, and deployment. You will play a key role in building scalable, production‑ready AI solutions and establishing best practices across the full AI development lifecycle. •

We are looking for an AI Technical Lead / AI Solution Architect for a leading Fintech company based in Dubai. Location - Dubai, UAE Salary - 45,000 AED/month + Benefits Qualifications & Experience: 14+ years of overall IT experience, including at least 5 years of relevant experience across Artificial Intelligence, Machine Learning, and/or Data Science. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline. Strong recent hands-on experience with Agentic AI, ideally using LangChain and/or LangGraph. Proven experience designing, architecting, and delivering enterprise AI/ML solutions into production environments. Strong technical knowledge of Machine Learning, Data Science, Generative AI, Large Language Models (LLMs), and modern AI architectures. Advanced Python development skills with the ability to remain technically hands-on while operating at a senior architecture and leadership level. Proven experience in AI solution architecture, systems integration, and enterprise application environments. Demonstrated experience technically leading, mentoring, and guiding teams of AI Developers and Data Scientists. Strong understanding of the complete AI/ML development, deployment, monitoring, and optimisation lifecycle. Experience implementing or supporting MLOps and LLMOps practices within production environments. Strong understanding of AI governance, security, responsible AI, data privacy, and risk management principles. Experience with Azure AI technologies and cloud-based AI architectures is highly desirable. Experience designing high-volume and/or real-time AI solutions is advantageous. Exposure to Computer Vision technologies and use cases is beneficial. Previous experience within government, regulated, or similarly complex enterprise environments is highly desirable. Excellent analytical, architectural, problem-solving, and technical decision-making capabilities. Strong stakeholder management skills with the ability to communicate complex technical concepts effectively to both technical and non-technical audiences. Excellent written and verbal communication skills in English. Arabic language skills are advantageous but not mandatory. Must be able to work fully onsite in Dubai, UAE. Key Responsibilities: Design and architect scalable, secure, and production-ready AI and Machine Learning solutions for complex enterprise environments. Lead the technical design, development, and implementation of Generative AI, Large Language Model (LLM), and Agentic AI solutions. Design and orchestrate AI-driven workflows using Agentic AI frameworks such as LangChain and LangGraph. Provide hands‑on technical leadership, direction, and guidance to AI Developers and Data Scientists. Define AI solution architecture, technical standards, integration patterns, and deployment approaches across enterprise systems. Develop and review AI solutions using Python, ensuring code quality, scalability, maintainability, and technical best practices. Conduct technical and architectural reviews across AI/ML projects and identify opportunities for optimisation. Support the implementation and continuous improvement of MLOps and LLMOps practices for deploying, monitoring, maintaining, and scaling AI solutions. Lead technical decision‑making throughout the end‑to‑end AI/ML development lifecycle, from solution design and prototyping through to production deployment. Mentor AI Developers and Data Scientists, supporting technical development and promoting engineering best practices. Collaborate with technical, business, and senior stakeholders to understand requirements and translate them into effective AI solutions. Ensure AI solutions appropriately address governance, security, privacy, responsible AI, and regulatory considerations. Support the architecture and delivery of high-volume, real‑time, and business‑critical AI applications. Evaluate emerging AI technologies, frameworks, tools, and methodologies and recommend their adoption where appropriate. Support the integration of AI capabilities with existing enterprise applications, data platforms, APIs, and cloud environments. Contribute to the organisation's wider AI strategy, technical roadmap, architecture standards, and innovation initiatives. About the Role: We are seeking an experienced AI Technical Lead / AI Solution Architect to join a leading technology organisation in Dubai and provide technical leadership across the design, architecture, and delivery of enterprise‑scale AI solutions. This is a senior, technically focused position suited to an accomplished technology professional with extensive experience across AI, Machine Learning, and Data Science, combined with strong recent exposure to Generative AI, Large Language Models (LLMs), and Agentic AI. The successful candidate will provide technical direction to a team of AI Developers and Data Scientists while remaining hands‑on across solution architecture, development, integration, and deployment. You will play a key role in building scalable, production‑ready AI solutions and establishing best practices across the full AI development lifecycle. •