Lead Machine Learning Operations Engineer
Tasks
- Build diagnostic dashboards and workflows
- Define ML production reliability strategy
- Define production health metrics
- Design ML observability monitoring
- Detect drift and degradation
- Embed operational requirements into ML workflows
- Ensure model traceability and governance
- Establish reliability playbooks and mentor teams
- Lead ML incident response and postmortems
- Operate deployment safety gates
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Automated testing | B testing | Canary Deployment | Cause analysis | Data Drift | Data Quality | Experiment tracking | Feature Store | Incident Response | MLOps | Machine Learning | Model Drift | Model Monitoring | Model Registry | Model Validation | Observability | Progressive Delivery | Rollback | Root Cause Analysis | Root cause | SQL | Shadow testing
Education
N/A
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