Senior Data Scientist (Business & Transaction Platform)
Core
Architect scalable ML solutions and deploy production-grade ML/LLM platforms to solve prediction, forecasting, and classification problems for Grab's transaction ecosystem in Southeast Asia.
Role type
Senior IC machine learning engineer (LLM & deep learning)
Builds
Scalable ML algorithms, production LLM pipelines, and data processing frameworks
Domain
Southeast Asia superapp / transaction platform / machine learning
Deliverable
production ML models
Required skills
Python, PyTorch, SQL, Spark, transformer models, NLP architectures, distributed computing, A/B testing, GenAI tools
Preferred skills
None stated
Technologies
PyTorch, Spark, SQL, GenAI tools
Responsibilities
Design and benchmark deep learning algorithms for large-scale prediction and forecasting; Build, fine-tune, and deploy LLMs and ML pipelines; Process multi-modal datasets using distributed computing frameworks; Execute offline evaluations and online A/B experiments; Partner with stakeholders to translate business requirements into ML features; Utilize GenAI tools to accelerate code delivery and documentation
Seniority
Senior, hands-on IC
