Lead Machine Learning Operations Engineer
Tasks
- Define model traceability and governance
- Define production health metrics
- Design end to end ML observability
- Detect drift and degradation proactively
- Establish standards and mentor engineers
- Lead diagnostic tooling and root cause analysis
- Own ML deployment safety
- Own ML production reliability strategy
- Partner across ML platform data and ML engineering
- Run ML incident response
Perks/Benefits
- 401k plan
- Dental insurance
- Disability benefits
- Life insurance
- Medical insurance
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Canary Deployment | Data Drift | Deployment pipeline | Experiment tracking | Feature Drift | Feature Store | MLOps | Machine Learning | Metadata Management | Model Deployment | Model Governance | Model Monitoring | Model Observability | Model Registry | Progressive Delivery | Rollback Strategy | SQL | Shadow Deployment
Education
N/A
Regions
Countries
States
Cities
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