AI Data Science Manager — Agentic ML & Production

Talabat Holding; Abu Dhabi; On-site; AED 350,000 - 750,000; Full time

Job summary

Talabat Holding in Abu Dhabi is seeking a Manager, Data Scientist - AI to lead a team shipping ML and generative AI systems powering product and business decisions. You will own the technical roadmap, collaborate with product and engineering, and drive end-to-end AI initiatives at scale.

You will guide data enrichment, intelligent content understanding, and automated decisioning, ensuring measurable impact and strong ML governance across the tribe.

Qualifications

• Bachelor's degree in Engineering, CS, or related field; postgrad is a plus.
• 6+ years in data science, ML engineering, or generative AI, with production shipping.
• 2+ years leading data science or ML teams and developing talent.
• Experience building ML systems for online consumer products is a strong plus.

Responsibilities

• Lead a team of data scientists building ML and GenAI systems powering decisions.
• Own roadmap and delivery; translate business problems into measurable ML solutions.
• Oversee full ML lifecycle: data pipelines, feature engineering, training, deployment, monitoring.
• Drive adoption of LLMs and agentic AI for data enrichment and automated decisions at scale.
• Design experiments (A/B, multivariate) to measure impact; improve MLOps and code quality.
• Partner with product managers and business teams to identify AI opportunities and shape roadmap.

Skills

Machine learning

Generative AI

NLP

Deep learning

Data mining

Python

SQL

Experiment design

ML system design

MLOps

Airflow

Education

Bachelor's degree in Engineering or CS

Postgraduate degree a plus

Tools

Scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

Transformers

LangGraph

Hugging Face

BigQuery

Google Cloud Platform

Job description

Talabat Holding in Abu Dhabi is seeking a Manager, Data Scientist - AI to lead a team shipping ML and generative AI systems powering product and business decisions. You will own the technical roadmap, collaborate with product and engineering, and drive end-to-end AI initiatives at scale.

You will guide data enrichment, intelligent content understanding, and automated decisioning, ensuring measurable impact and strong ML governance across the tribe.