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MLOps Engineer

Early Applicant
  • Posted 28 days ago
  • Be among the first 10 applicants

Job Description

  • 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

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About Company

Job ID: 152038939

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