Responsibilities :
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
Technical and Skilled Requirements:
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
📌 Mlops Engineer Bengaluru (India)
🏢 Infosys
📍 India