• SageMaker 2. MLflow 3. Kubeflow 4. Databricks 5. MLOps 6. Model Deployment 7. Model Monitoring 8. Model Retraining 9. Feature Store 10. CI/CD for ML 11. Training Pipelines 12. Inference Pipelines 13. Drift Detection 14. Docker 15. Kubernetes/EKS 16. Terraform 17. CloudFormation 18. AWS Lambda 19. Python Automation
• 5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
• Robust with Jenkins, Git, Docker, EKS troubleshooting
• AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation
• IaC: CloudFormation (CFT) and Terraform
• MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda
📌 MLOps Engineer (India)
🏢 Infosys
📍 India