Senior Associate - Applied AI ML / Data Science
Bengaluru, Karnataka, India
INR 618K-980K (estimate) Mid-level Full Time
Tasks
- Build MLOps pipelines with CI CD for ML
- Conduct bias and fairness checks
- Deploy explainability for regulatory review
- Design deploy and operate production machine learning solutions
- Develop validate and calibrate models
- Implement automated monitoring for data and concept drift
- Improve AML transaction monitoring true positive rates
- Lead financial crime data science team
- Maintain model registries and governance artifacts
- Maintain model risk management practices
- Manage data sourcing and controls
- Mentor hire and develop machine learning talent
- Monitor models for drift and performance
- Own end-to-end model lifecycle
- Partner with model risk and internal audit
- Perform feature engineering
- Reduce false positives for investigator productivity
- Retrain models in production
- Translate regulatory requirements into defensible ML controls
- Use human in the loop feedback to improve models
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Bias and fairness | CI/CD | Calibration | Clustering | Concept drift | Counterfactuals | Data Drift | Explainable AI | Feature Engineering | Feature Store | Graph analytics | Human-in-the-loop | LIME | MLOps | Machine Learning | Model Monitoring | Model Risk Management | Model risk | Network Analytics | Python | Risk Management | SHAP | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Threshold Optimization | Unsupervised Learning | Weak Supervision
Education
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