ML Platform Engineer

Flipkart's ML Platform team is hiring an ML Platform Engineer to build the feature store, model registry, and model serving infrastructure used by 200+ data scientists and ML engineers to deploy recommendation and pricing models to production.

• Build and maintain Flipkart's centralised ML feature store
• Develop model serving infrastructure for 50+ production ML models
• Build self-service tooling for data scientists to deploy models safely
• Implement model monitoring for data drift and performance degradation
• Reduce model deployment cycle time from weeks to hours
• Mentor ML engineers on platform best practices

• 4–7 years ML engineering or data engineering
• Feature store design and implementation: Feast or Tecton
• Model serving: Seldon, BentoML, or TorchServe
• MLflow for experiment tracking and model registry
• Kubernetes and Docker for ML workload orchestration
• Python and strong software engineering practices
• Apache Spark for large-scale feature computation