Machine Learning Engineer Role
Washington, District of Columbia, United States
USD 146K-250K (estimate) Senior-level Full Time
Tasks
- Automate retraining and release controls
- Build reproducible training pipelines
- Deploy versioned model services
- Diagnose production failures
- Implement MLOps workflows
- Implement monitoring and alerting
- Manage features and model artifacts
- Optimize inference performance
- Perform data-drift analysis
- Set up feature pipelines and feature stores
- Support model rollback and retirement
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Alerting | Artifact management | Automated Deployment | CI/CD | Containerization | Data Drift | Data Versioning | Docker | Experiment tracking | Feature Engineering | Feature Store | Inference Optimization | Infrastructure as Code | Java | Kubernetes | Machine Learning | Model Evaluation | Model Registry | Model Serving | Model Training | Monitoring | Python | Retraining Pipelines | SQL | “as-code”
Education
N/A
Regions
Countries
States
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