AI Data Science Manager: GenAI & ML Leader

SmartRecruiters, Inc.; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

talabat is seeking a Manager, Data Scientist - AI within the Applied AI Tribe to lead a team delivering ML and generative AI systems that power decisions across talabat's product and business. You will be a people leader and a technical practitioner, owning the roadmap and ensuring delivery.

Your team covers the full ML lifecycle, from framing problems to deployment and monitoring, with emphasis on LLMs, agentic systems, and scalable AI-enabled experiences across the platform.

Qualifications

• Deep expertise in ML, generative AI, NLP, and data mining.
• Hands-on with ML/GenAI frameworks and model deployment.
• Proficient in OpenAI SDK and major LLM APIs.
• Experience with LangGraph for agentic workflows.
• Familiar with Hugging Face tools for modelling and deployment.
• Strong SQL and Python skills; solid statistics and experiments.

Responsibilities

• Lead a data science team delivering ML and AI solutions.
• Own the technical roadmap and collaborate with product and engineering.
• Oversee data pipelines, training, deployment, and monitoring.
• Champion LLMs, agentic systems, and production-grade evals.
• Drive adoption of MLOps practices and code quality.
• Mentor team members and communicate results to stakeholders.

Skills

Machine learning

Generative AI

NLP

Recommendation systems

Data mining

Scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

Transformers

LLM fine-tuning

OpenAI SDK

LangGraph

Hugging Face

BigQuery

Google Cloud Platform

SQL

Python

MLOps

Airflow

Education

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

Postgraduate degree a plus

Tools

OpenAI SDK

LangGraph

Hugging Face

Transformers

BigQuery

Google Cloud Platform

Airflow

Job description

talabat is seeking a Manager, Data Scientist - AI within the Applied AI Tribe to lead a team delivering ML and generative AI systems that power decisions across talabat's product and business. You will be a people leader and a technical practitioner, owning the roadmap and ensuring delivery.

Your team covers the full ML lifecycle, from framing problems to deployment and monitoring, with emphasis on LLMs, agentic systems, and scalable AI-enabled experiences across the platform.