95 Artificial Intelligence jobs in Dubai
Artificial Intelligence Analyst
Posted today
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Job Summary:
We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making.
Key Responsibilities:
- AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement.
- Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality.
- Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations.
- Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively.
- Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives.
- Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions.
- A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features.
- Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies.
- Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques.
Qualifications: Required:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts.
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).
- Solid understanding of statistical concepts and their application in data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Preferred:
- Master's degree in a relevant field.
- Familiarity with Python or R for data analysis, scripting, and statistical modeling.
- Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services.
- Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics.
- Experience working in an agile development environment.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on exciting and impactful AI projects.
- A collaborative and innovative work environment.
- Professional development and growth opportunities.
- Flexible work arrangements (if applicable).
- Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.)
Head of Artificial Intelligence
Posted today
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Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded. Job Responsibilities:
AI Strategy & Execution
- Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
- Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.
- Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
- Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.
- Oversee hands-on design, prototyping, and scaling of AI models and solutions.
- Collaborate with data, policy, and business teams to deploy AI in production environments.
- Ensure robust performance monitoring, model explainability, and continuous improvement.
- Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
- Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
- Represent the firmin external forums on AI and digital transformation in financial regulation.
- Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
- Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
- Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.
- Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.
- Bachelor's degree in computer science, engineering, information technology, or a related field.
- Hands-on AI solution development and deployment in live production environments.
- Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
- Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
- 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
- Strategic thinking and executive-level stakeholder management skills.
- Strong leadership with the ability to build and manage cross-functional AI teams.
- Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
- Deep technical knowledge combined with practical execution ability.
- Experience in implementing AI responsibly with a risk-aware mindset.
- Excellent communication, collaboration, and change management skills.
- Able to explain complex models to non-expert stakeholders.
Chief Artificial Intelligence Officer
Posted today
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Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Vacancy
1 Vacancy
Job Description
Davidson Management Consultants have been mandated to recruit a Chief Artificial Intelligence Officer for their client in Dubai which is a large healthcare group which owns and operates hospitals and medical centers across UAE.You will be responsible for driving productivity and innovation through implementation of Artificial Intelligence and have a track record of enabling successful AI innovation programs.As a CAIO you will focus on increasing efficiency of business processes, optimize manpower, reduce waste, enhance TATs, improve patient experience, quality of services and profitability.The ideal candidate will have experience in driving transformation, providing skill training.Must have a proven track track record and excellent understanding of governance frameworks for ethical use of AI.You would work closely with all departments to deliver AI capabilities in order to align existing infrastructure, models and technology with AI and provide guidance on the legal and compliance aspects for responsible use of AI.You are expected to have good knowledge and understanding of Natural Language Processing, Machine Learning, Retrieval Augmented Generation, Data Analytics, Advanced Programming languages, Cloud Computing and Deployment, AI Frameworks (TensorFlow, PyTorch), Predictive Modeling, Risk Management principles, AI compliance, Data Visualization, Statistical analysis and Data Management.AI is a rapidly evolving technology and the CAIO role is not yet fully defined , hence, the client expects the CAIO to have the ability and expertise to keep themselves abreast of the daily developments and innovations within the industry.
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#J-18808-LjbffrHead of Artificial Intelligence
Posted today
Job Viewed
Job Description
Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services
Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded.
Job Responsibilities:
AI Strategy & Execution
- Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
- Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.
- Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
- Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.
- Oversee hands-on design, prototyping, and scaling of AI models and solutions.
- Collaborate with data, policy, and business teams to deploy AI in production environments.
- Ensure robust performance monitoring, model explainability, and continuous improvement.
- Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
- Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
- Represent the firmin external forums on AI and digital transformation in financial regulation.
- Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
- Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
- Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.
- Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.
- Bachelor's degree in computer science, engineering, information technology, or a related field.
- Hands-on AI solution development and deployment in live production environments.
- Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
- Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
- 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
- Strategic thinking and executive-level stakeholder management skills.
- Strong leadership with the ability to build and manage cross-functional AI teams.
- Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
- Deep technical knowledge combined with practical execution ability.
- Experience in implementing AI responsibly with a risk-aware mindset.
- Excellent communication, collaboration, and change management skills.
- Able to explain complex models to non-expert stakeholders.
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Artificial Intelligence Adoption Strategist
Posted today
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Job Description
The role of Senior Change Manager plays a critical part in the successful implementation and adoption of AI initiatives across an organization, through a robust change and communication strategy.
Key responsibilities include planning and coordinating change management strategies, executing and owning delivery quality of change management initiatives, crafting impactful change communications, collaborating and securing buy-in through stakeholder management, and assessing change readiness and mitigating risks.
What You Will Do:- Translate organizational vision and strategy into change priorities and overall change management framework for AI adoption.
- Formulate holistic change agenda and objectives for both organizational and departmental levels.
- Develop and implement change management strategies and plans to support the adoption of AI tools and resources.
- Nationals with 10+ years of change management experience, preferably in a technology-driven environment.
- Strong stakeholder management & communication skills to drive AI adoption and engagement across the organization.
- Certified in Change Management (e.g., Prosci, CCMP) with proven expertise in large-scale transformation initiatives.
- Experience with Agile methodologies and the ability to assess change readiness, mitigate risks, and drive adoption.
AI Project Manager – Data Science & Artificial Intelligence Center
Posted today
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Job Description
Direct message the job poster from Roads and Transport Authority
HR Strategist | CIPD Level 7 | CHRMP Certified | Data-Driven Talent Acquisition Specialist | Naukrigulf & LinkedIn Certified Recruiter | Headhunt.The Roads and Transport Authority (RTA) is looking for an experienced AI Project Manager to lead and deliver AI-driven initiatives that transform public services in Dubai. This role offers a unique opportunity to work at the forefront of smart city development, managing cutting-edge AI projects from concept to execution.
Key Responsibilities:
- Supervise the entire AI project portfolio: planning, implementation, and performance monitoring
- Lead budgeting, resource planning, and strategic alignment of AI initiatives with RTA’s AI Roadmap
- Translate business needs into feasible AI projects, conduct cost-benefit analysis, and track KPIs
- Manage vendors and service providers, ensuring project delivery meets RTA standards
- Design and deploy interactive dashboards (Power BI, Qlik Sense, Microsoft Fabric) for real-time reporting
- Drive AI innovation, mentor team members, and support AI training & capability-building programs
- Ensure alignment with data governance, security, and UAE’s national data regulations
- Collaborate across technical and business stakeholders, including IT, strategy, and external consultants
Qualifications & Skills:
- Bachelor’s or Master’s degree in Information Technology, AI, Data Science, or related field
- 14+ years of relevant experience in AI, project management, and data platforms
- Expertise in data lake, ETL pipelines, data warehousing, visualization tools, and machine learning
- Strong command of data privacy, security, enterprise architecture, and data governance frameworks
- Excellent leadership, planning, communication, and stakeholder management skills
- Proficiency in project management methodologies and business case evaluation
Be part of Dubai’s transformation into a world-class smart city
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionSupply Chain
- IndustriesGovernment Administration
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#J-18808-LjbffrChief Artificial Intelligence Innovation Officer
Posted today
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Job Title: AI Product Manager
The ideal candidate will possess a blend of technical expertise, market acumen, and agile management skills to steer our initiatives towards success.
Key Responsibilities: Requirements:Be The First To Know
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Data Science Expert
Posted today
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Job Description
Quantitative Developer
Position Overview:We are seeking a highly skilled Quantitative Developer to join our team.
This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.
You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.
Lead Data Science Researcher
Posted today
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Job Description
A software development company is looking for a talented, long-term Lead DS Researcher.
We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.
This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.
About the company
Company Top Remote Talent
The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.
Responsibilities
You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.
Requirements
**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
Solid experience with deep learning frameworks like PyTorch or TensorFlow;
Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
Familiarity with medical or life science data is a strong plus;
Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
Comfortable working in Google Cloud Platform (GCP) environments.
**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
Experience with pipeline orchestration tools like Airflow, Argo, etc.;
Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
Intermediate+ English — ability to participate in written discussions with international teams and clients.
Working conditions
**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;
Work on meaningful challenges with long-term value for public health and healthcare quality;
Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
Fully remote-friendly setup with flexibility and trust at the core.
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#J-18808-LjbffrLead Data Science Researcher
Posted today
Job Viewed
Job Description
A software development company is looking for a talented, long-term Lead DS Researcher.
The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.
We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.
This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.
What we’re looking for :
- Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
- Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
- Solid experience with deep learning frameworks like PyTorch or TensorFlow;
- Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
- Familiarity with medical or life science data is a strong plus;
- Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
- Comfortable working in Google Cloud Platform (GCP) environments.
Bonus points for experience with :
- State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
- Experience with pipeline orchestration tools like Airflow, Argo, etc.;
- Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
- Intermediate+ English — ability to participate in written discussions with international teams and clients.
Benefits :
- Join a mission-driven team working at the intersection of data, medicine, and impact;
- Work on meaningful challenges with long-term value for public health and healthcare quality;
- Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
- Fully remote-friendly setup with flexibility and trust at the core.
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