
Talabat
Senior AI Engineer
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
- Urgent
Job expiry date: 28/02/2026
Job overview
Date posted
14/01/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
28/02/2026
Job description
The Senior AI Engineer role within talabat’s GenAI Squad is responsible for advancing the intelligence of the company’s on-demand delivery platform by improving decision-making across product and business functions through relevant, reliable, and actionable data. The role owns an end-to-end data and AI domain, spanning logging, data modeling, analysis, reporting, experimentation, and production deployment of machine learning and generative AI systems. The position focuses on leveraging Generative AI for data enrichment, smart content understanding, automated decision-making, and enhanced user experiences. The role designs, implements, and maintains scalable ML and GenAI solutions, collaborates closely with product managers and business stakeholders, develops deep understanding of product data and business processes, contributes to data model design, delivers actionable insights through automated reporting, and drives experimentation using A/B and multivariate testing. The role also mentors other data scientists, contributes to internal tooling and training programs, and operates within an online consumer product environment, leveraging cloud and big data technologies.
Required skills
Key responsibilities
- Design and implement machine learning and generative AI systems in production to support product and business decision-making
- Translate ambiguous business problems into objective, data-driven solutions
- Own the full data lifecycle including logging, data modeling, analysis, reporting, and experimentation
- Leverage Generative AI for data enrichment, smart content understanding, and automated decision-making
- Develop deep understanding of product experiences, business processes, and source data systems
- Contribute to the design and maintenance of data models for performance measurement and analysis
- Deliver reliable, actionable insights and recommendations through deep analysis and automated reports
- Design, plan, execute, and analyze A/B tests and multivariate experiments
- Support KPI design and goal setting for product and business managers
- Collaborate closely with data scientists, data engineers, product managers, and business stakeholders
- Mentor other data scientists and contribute to team capability development
- Improve internal ways of working, tooling, and training programs
Experience & skills
- Hold a Bachelor’s degree in Engineering, Computer Science, Technology, or a related field
- Possess a minimum of 5 years of experience in data science, machine learning, and generative AI
- Demonstrate strong experience with machine learning, deep learning, and generative AI frameworks
- Exhibit proficiency in SQL and reproducible data analysis using Python or R
- Maintain strong knowledge of data modeling, experiment design, and statistical analysis techniques
- Show familiarity with product analytics, KPI measurement, and online consumer product data
- Demonstrate experience with LLMs, NLP-based solutions, and cloud platforms such as GCP and BigQuery
- Possess experience with data pipelines and orchestration tools such as Apache Airflow