MLOps Platform Engineer (SageMaker)
Tasks
- Build SageMaker MLOps pipelines
- Build SageMaker model serving
- Configure MLflow experiment tracking
- Configure data catalog and lineage
- Implement IAM for ML platforms
- Manage SageMaker Model Registry
- Operate MLOps platform with observability and logging
- Set up SageMaker Unified Studio platform
- Set up model monitoring for drift and performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | AWS CloudFormation | AWS Step Functions | Access Management | Airflow | Amazon EKS | Amazon SageMaker | Amazon SageMaker Endpoints | Amazon SageMaker Feature Store | Amazon SageMaker Model Registry | CloudWatch | Datadog | Docker | Feature Store | IAM | Identity and Access Management | Identity and access | Kubernetes | Lake Formation | MLflow | Model Registry | Okta | SSO/SAML | SageMaker Endpoints | SageMaker Feature Store | SageMaker Model Registry | Sagemaker Pipelines | SailPoint | Security groups | Snowflake | Step Functions | Terraform | VPC
Education
N/A
Roles
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