MLops Engineer
1 week ago
Job Description – MLOps / Model Monitoring / Drift Detection Engineer (10+ Years Experience)
Experience Required:
- 10+ years of total experience
, with strong expertise in MLOps, model monitoring, and drift detection.
Technical Environment / Tools:
- GCP (Google Cloud Platform)
- Vertex AI
Capability Areas & Expected Proficiency
1. Data Drift & Model Drift Monitoring – Advanced
- Statistical drift detection
- Detect drift in incoming image data; quantify shifts in model confidence and accuracy
- Propose retraining actions
2. Model Performance Tracking – Advanced
- Performance metric computation (Confidence, Accuracy, Precision, Recall, F1)
- Continuous model evaluation methods
- Track model performance trends, degradation, and instability
- Set up automated ML metrics dashboards on Looker Studio or other tools to get a complete view on underperforming / new / emerging classes
3. Observability & Traceability – Intermediate to Advanced
- Maintain full traceability of inference flow; ensure reproducibility
- Understanding of complete image classification pipelines
4. Model Behavior & Fairness Assessment – Intermediate
- Explainable AI; provide interpretable explanations of model behavior
- Bias detection frameworks; detect emerging bias and report bias trends
5. Alerts, Reporting & Retraining Automation
- ML monitoring rules (threshold-based, anomaly detection)
- Build automated alerts when the model is deteriorating
- Summarize and report model performance as well as data/model drift trends to initiate retraining decisions or data collection needs
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