Role Summary : Own end-to-end ML model development and productionization — from problem framing and model building to deployment, monitoring, and scaling.
Key Responsiblities :
Design and build ML models (classification, regression, anomaly detection, forecasting, NLP/LLM-based, as applicable) to solve defined business problems
Build CI/CD pipelines for model training → validation → deployment
Containerize and serve models (batch + real-time inference)
Set up monitoring for drift, latency, and data quality
Collaborate with business/product stakeholders on requirements and data science on model handoff and reproducibility
Own rollback/versioning strategy and A/B or shadow testing