MLops

Location : PAN INDIA

Here are the JD

• MLOps
• Model Monitoring
• Model Drift Detection

Technical Environment / Tools

• GCP (Google Cloud Platform)
• Vertex AI

Capability Area

Core Skills / Tools

Expected Proficiency

1. Data Drift & Model Drift Monitoring

- Statistical drift detection

- Detect drift in incoming image data ; quantify shifts in model confidence and accuracy

- Propose retraining actions

Advanced

2. Model Performance Tracking

- 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 any other tool to get a complete view on underperforming/new/emerging classes

Advanced

3. Observability & Traceability

- Maintain full traceability of inference flow; ensure reproducibility

- Understanding of complete image classification pipelines

Intermediate to Advanced

4. Model Behavior & Fairness Assessment

- Explainable AI; Provide interpretable explanations of model behavior

- Bias detection frameworks; Detect emerging bias and report bias trends

Intermediate

5. Alerts, Reporting & Retraining Automation

- ML Monitoring rules (threshold-based, anomaly detection)

- Build automated alerts when model is deteriorating

- Summarize and report model performance as well as data/model drift trends to initiate retraining decisions or data collection needs