Staff Machine Learning Operations Engineer
Tasks
- Architect ML platform with feature store and model registry
- Automate data quality checks and statistical model validation
- Automate deployment using PR driven workflows
- Build standardized service patterns for model deployment
- Design data drift and concept drift monitoring
- Enable continuous training foundations with drift monitoring
- Establish SLOs and observability for ML systems
- Implement ML specific CI CD pipelines
- Own production ML reliability and performance
- Reduce cost and latency through optimization
- Run on-call and incident response
Perks/Benefits
Skills/Tech-stack
AWS | Amazon S3 | Apache Airflow | CI/CD | Concept drift | Concept drift monitoring | Continuous Training | Data Drift | Data drift monitoring | Datadog | Drift monitoring | Feature Store | Incident Response | Kubernetes | Model Registry | Model Serving | Model Validation | Observability | Python | SageMaker | Snowflake | Statistical Model Validation | Terraform
Education
N/A
Regions
Countries
States
Cities
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