MLOps Engineer (Bengaluru)

MLOps Engineer (Bengaluru)

10 Aug
|
Infosys
|
Bengaluru

10 Aug

Infosys

Bengaluru

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 (Bengaluru)
🏢 Infosys
📍 Bengaluru

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