Tech Stack

Description

You will own the end-to-end ETA prediction systems for Careem's Food and Groceries verticals, architecting scalable multi-stage pipelines and deploying production-grade ML models to improve marketplace efficiency and customer experience.

Requirements

• 8+ years experience in Applied Machine Learning or Data Science with large-scale production systems
• Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or related field
• Expertise in deep learning, time-series forecasting, graph-based models, optimization, and operations research
• Strong production experience with distributed and real-time systems (Spark, Trino, Python)
• Experience in experimentation design and marketplace impact measurement

Responsibilities

• Define and own long-term technical vision for ETA systems across Food and Groceries
• Architect scalable multi-stage stochastic pipelines for ETA prediction
• Develop and deploy production-grade ML systems using deep learning, time-series forecasting, graph-based models, and operations research
• Design and deploy real-time inference pipelines with monitoring and alerting
• Lead cross-team architectural discussions and mentor senior data scientists and engineers