Senior Machine Learning Engineer
Core
Build and deploy AI/ML models for Grab's retail and grocery engine to power inventory intelligence, demand forecasting, and hyper-personalized discovery.
Role type
Senior Machine Learning Engineer (E-commerce/Quick-Commerce)
Builds
Scalable DS architectures, production-grade AI models, autonomous shopping assistants, and real-time optimization algorithms for supply chain and demand.
Domain
E-commerce, Quick-Commerce, Marketplace, Retail
Deliverable
production ML models
Required skills
ML/DL, data mining, optimization algorithms, TensorFlow, PyTorch, Python, Scala, MLOps, CI/CD, Spark, Flink, Kafka
Preferred skills
Large-scale recommender systems, customer segmentation, supply-chain optimization, LLM fine-tuning, agentic development tools (LangChain, AutoGPT, CrewAI)
Technologies
TensorFlow, PyTorch, Python, Scala, Spark, Flink, Kafka, LangChain, AutoGPT, CrewAI
Responsibilities
Analyze massive transactional, behavioral, and geospatial datasets to decode shopping patterns; build agentic, conversational, and anticipatory user experiences; create high-precision spatio-temporal models for demand forecasting; implement intelligent optimization algorithms to balance demand and supply; develop production-grade AI models and oversee A/B testing lifecycle; partner with cross-functional teams to integrate and scale solutions.
Seniority
Senior, hands-on IC
