Senior Data Scientist

📋 Description

• Develop an understanding of Grab, Financial Services and Banking data and its nuances across
• Use LLMs to power the next generation of customer experiences.
• Manage the entire end-to-end lifecycle of ML models and AI agents, from development, deployment
• Work with engineering, compliance & operation teams to create solutions and product changes.
• Stay current with the latest AI/LLM research and new frameworks and incorporate them into practical
• Work as an individual contributor or in a team to solve complex problem statements.

🎯 Requirements

• Expert proficiency in Python, Spark, and SQL (Presto/Hive) with a command of fundamental ML
• Hands-on experience with Agentic frameworks (specifically LangGraph, LangSmith, LangChain), LLM
• Expertise in productionizing ML solutions with MLOps tools (MLflow, Kubeflow, TFX, SageMaker) and
• Experience in real-time implementation of machine learning solutions using Flink SQL and Flink SDK
• Adherence to clean coding, modular design, and version control (Git/GitHub).
• Ability to balance model performance with business trade-offs, such as latency, cost, and

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex benefits package.
• Parental and Birthday leave, Love-all-Serve-all (LASA) volunteering leave.
• Grabber Assistance Programme.