Lead ML Engineer
Tasks
- Define model packaging and versioning standards
- Define production-readiness criteria
- Establish reusable model serving patterns
- Implement CI/CD for ML workflows
- Improve ML platform capabilities
- Provide technical direction for ML solutions
- Reduce effort to productionize models
- Set monitoring and observability standards
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | AWS Step Functions | Apache Airflow | CI/CD | Cloud Computing | MLOps | Machine Learning | Model Packaging | Model Serving | Model versioning | Monitoring | Observability | Step Functions
Education
N/A
Roles
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