Role : Python with Machine Learning
Experience : 7 - 10 years
Job Location : Pune, Hyderabad, Kolkata
Notice : Immediate to 30 days
Model Development (Python + ML):
- Build robust data pipelines and feature engineering modules using Python (pandas, NumPy, scikitlearn, PySpark as needed).
- Develop and evaluate ML models for use cases such as credit scoring, risk segmentation, loan default prediction, transaction anomaly detection/AML, pricing/propensity, and collections optimization.
AWS SageMaker & MLOps:
- Package training/inference code for SageMaker Training and SageMaker Inference (Realtime Endpoints, Batch Transform).
- Implement SageMaker Pipelines (model training, evaluation, approval, deployment) and integrate with CI/CD (e.g., CodePipeline/CodeBuild/GitHub Actions).
- Manage experiment tracking, model registry, drift/monitoring (SageMaker Model Monitor, Clarify).
