Senior Data Scientist - ML, Python (IN)

Key Responsibilities

Pipeline Development & Automation: Design and implement automated ML pipelines for model training, testing, deployment, and monitoring.

Model Deployment & Monitoring: Deploy AI/ML models into production environments using containerization and orchestration tools; ensure performance and reliability.

Cloud Infrastructure Management: Configure and optimize cloud resources (AWS SageMaker, S3, Bedrock) for scalable ML workflows.

Data Integration: Collaborate with Data scientist to streamline data ingestion and transformation for model readiness.

CI/CD for ML: Implement continuous integration and delivery practices tailored for ML workflows.

Performance Optimization: Monitor model performance, retrain as needed, and manage versioning for reproducibility.

Collaboration: Work closely with Data Scientists to translate experimental models into production-ready solutions.