MLOps Engineer
Infosys
Work from Office
Full Time
Min. 5 yearsJob Description
MLOps Engineer
1. 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 LambdaJob role
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