MLOps Engineer
Infosys · Posted today
- Bengaluru East, Karnataka, India (On-site)
- Full-time
- 5+ yrs
About the role
- 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
- Strong 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
Skills
SageMakerMLflowKubeflowDatabricksModel DeploymentModel MonitoringModel RetrainingFeature StoreCI/CD for MLTraining PipelinesInference PipelinesDrift Detection