MLOps Engineering Specialist
Tasks
- Apply IAM least privilege for SageMaker
- Build MLOps framework for versioning automated testing release governance rollback
- Build SageMaker real time inference endpoints
- Build SageMaker serverless inference endpoints
- Define documentation change management standards quality gates
- Design MLOps workflows using AWS SageMaker
- Generate model performance reporting
- Implement SageMaker pipelines training orchestration
- Implement VPC network isolation for SageMaker
- Implement automated retraining strategies
- Implement model monitoring for data quality model quality bias drift feature drift
- Manage features with SageMaker Feature Store
- Perform drift detection and evaluation routines
- Productionize notebooks into managed pipelines
- Promote models across environments
- Set up alerting for retraining and redeployment
- Track lineage with SageMaker Experiments
- Version and approve models with SageMaker Model Registry
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Amazon Web Services | CI/CD | Distributed tracing | Drift Detection | Feature Engineering | Feature Store | IAM | Model Monitoring | Model Registry | Model versioning | Observability | OpenTelemetry | SageMaker Experiments | SageMaker Feature Store | SageMaker Model Registry | Sagemaker Pipelines | Serverless | VPC | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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