Live opening · Posted 22 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
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
Work arrangement
No
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