Staff AI Scientist - GenAI

Talabat; Dubai; On-site; AED 201,983 - 293,793; Full time

Job summary

Talabat is seeking a Staff AI Scientist – GenAI in Dubai, United Arab Emirates. This role focuses on machine learning, generative AI, and data-driven decision systems to enhance product intelligence and improve customer experiences.

The ideal candidate will have 7 years of experience and be responsible for designing advanced analytical solutions, mentoring teams, and contributing to performance improvements across the business.

This opportunity allows you to influence decision automation within a dynamic technology platform in the Internet industry.

Qualifications

• 7 years of experience in data science or related fields.
• Strong background in machine learning and GenAI frameworks.
• Excellent SQL skills for advanced analysis.

Responsibilities

• Design and implement machine learning systems for production use.
• Deliver actionable insights and recommendations.
• Mentor junior data scientists and improve team practices.

Skills

Machine learning

Generative AI

Data science

Deep learning

Recommendation systems

Artificial intelligence

Pattern recognition

Data mining

Product analytics

Experimentation

Education

Bachelor's degree in Engineering, Computer Science, or related field

Tools

Scikit-learn

TensorFlow

SQL

Python

R

Google Cloud Platform

Job description

Job Snapshot

• Role: Staff AI Scientist – GenAI
• Location: Dubai, United Arab Emirates
• Industry: Internet
• Function: R & D – Science
• Experience: 7 years
• Job Type: Full-time

Overview

Staff AI Scientist – GenAI in Dubai, United Arab Emirates is an Internet industry role focused on machine learning, generative AI, product intelligence, experimentation, and data‑driven decision systems for a leading on‑demand delivery and Q‑commerce platform. This senior‑level opportunity is designed for an experienced AI scientist who can own complex product and business domains, build production‑ready models, and guide teams with reliable insights that improve customer, partner, rider, and business outcomes.

Job Details

• Country: United Arab Emirates
• City: Dubai
• Industry: Internet
• Function: R & D – Science
• Salary: 55,000-80,000
• Salary note: Estimated salary range based on similar jobs in the city; please confirm the final offer with the employer.
• Gender: Any
• Candidate Nationality: Any
• Job Type: Full-time

Role Context

This role is responsible for helping talabat become more intelligent in how it understands users, predicts behavior, improves product experiences, and supports business operations.

The Staff AI Scientist – GenAI will lead advanced analytical and AI work across a defined domain, applying machine learning, generative AI, experimentation, product analytics, and data modeling to deliver practical business value while mentoring other scientists and improving team practices.

Key Responsibilities

• Convert ambiguous business and product challenges into measurable questions, objective criteria, and data‑backed decision frameworks.
• Design, build, and implement machine learning, deep learning, recommendation, and generative AI systems for production use.
• Apply practical algorithms that solve complex business problems while keeping solutions explainable, scalable, and focused on value.
• Build deep knowledge of assigned product experiences, user behavior, business processes, and performance drivers.
• Develop strong familiarity with source data, logging structures, data‑generating systems, and quality risks through documentation and engineering collaboration.
• Contribute to the design and maintenance of data models that support performance measurement, diagnostic analysis, and decision‑making.
• Work closely with product and business teams to identify important questions that can be answered through reliable data and experimentation.
• Deliver actionable insights, automated reporting, and clear recommendations that help teams improve product and business performance.
• Design, plan, and analyze A‑B tests, multivariate experiments, and statistical workflows.
• Support product and business managers with KPI design, goal setting, performance tracking, and interpretation of results.
• Build GenAI solutions for data enrichment, smart content understanding, automated decision‑making, and operational intelligence.
• Use product data such as impressions, events, engagement, conversion, retention, and behavior signals to identify improvement opportunities.
• Mentor data scientists and help strengthen technical quality, analytical thinking, and model development practices.
• Contribute to better internal tools, training programs, data science workflows, and team ways of working.
• Communicate complex technical findings clearly to both technical and non‑technical stakeholders.

Ideal Profile

• Bachelor's degree in Engineering, Computer Science, Technology, Data Science, or a similar field.
• Postgraduate degree is an advantage but not required.
• 7 years of experience in data science, machine learning, artificial intelligence, or generative AI.
• Strong background in machine learning, GenAI, deep learning, recommendation systems, pattern recognition, data mining, and applied artificial intelligence.
• Deep experience with ML and GenAI frameworks such as Scikit‑learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, or LLM fine‑tuning.
• Excellent SQL skills for exploration, validation, modeling, and advanced analysis.
• Strong ability to perform reproducible analysis using Python or R.
• Familiarity with data modeling, dimensional design, and the complete data lifecycle.
• Strong command of descriptive, exploratory, inferential, causal, and predictive analysis methods.
• Deep understanding of experimentation design, statistical testing, and experiment interpretation.
• Experience with product data, product health measurement, conversion, engagement, retention, and customer behavior analytics.
• Experience with LLMs, NLP‑based solutions, data enrichment, smart automation, BigQuery, Google Cloud Platform, or Airflow is an advantage.
• Experience in online consumer products, marketplaces, delivery platforms, or high‑scale digital products is preferred.
• Strong ownership, collaboration, communication, and problem‑solving mindset.

Skills Set

• Machine learning
• Generative AI
• Data science
• Deep learning
• Recommendation systems
• Artificial intelligence
• Pattern recognition
• Data mining
• Product analytics
• Experimentation
• A‑B testing
• Multivariate testing
• Statistical analysis
• Causal analysis
• Predictive analysis
• Scikit‑learn
• XGBoost
• LightGBM
• CatBoost
• SVMs
• Keras
• TensorFlow
• PyTorch
• Hugging Face Transformers
• LLM fine‑tuning
• SQL
• Python
• R
• Data modeling
• Dimensional design
• BigQuery
• Google Cloud Platform
• Airflow
• NLP
• Automated reporting
• KPI design
• Data enrichment
• Scientist mentoring

Why Join Us

This role offers the chance to lead advanced AI and data science work that influences customer experiences, business decisions, restaurant partner outcomes, rider operations, and product intelligence across a large regional platform. It is a strong opportunity for a senior AI professional who wants to move beyond analysis and help shape practical GenAI systems, experimentation standards, and decision automation at scale.

Dubai, United Arab Emirates continues to grow as a regional hub for the Internet industry, AI, data science, digital commerce, cloud platforms, and product innovation.

This position provides exposure to large‑scale consumer product data, advanced experimentation, modern GenAI use cases, and high‑impact decision systems within a fast‑moving technology environment.

About the Company

Talabat is a leading on‑demand food and Q‑commerce platform with deep regional roots and operations across multiple Middle East markets. Through technology, logistics expertise, and local market knowledge, talabat helps customers access everyday deliveries while supporting restaurants, local shops, riders, and communities through reliable digital services.