Senior Associate - Applied AI ML / Data Science
INR 618K-980K (estimate) Mid-level Full Time
Tasks
- Apply explainable machine learning techniques
- Build MLOps pipelines with CI CD for machine learning
- Build graph network analytics models
- Collaborate with compliance investigations operations and technology
- Conduct model validation calibration and threshold optimization
- Design deploy operate production machine learning models
- Develop anomaly detection solutions
- Engineer customer behavioral temporal and graph features
- Ensure bias and fairness checks
- Implement model monitoring for drift and performance
- Lead machine learning team
- Maintain model registries and retraining workflows
- Manage model risk and governance artifacts
- Mentor recruit and coach data science talent
- Perform supervised unsupervised and semi supervised learning
- Translate regulatory requirements into defensible machine learning controls
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Bias and fairness | CI/CD | Clustering | Concept drift | Cost Sensitive Evaluation | Data Drift | Explainable AI | Feature Engineering | Feature Stores | Graph analytics | Imbalanced Learning | LIME | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Risk Management | Model calibration | Model risk | Network Analysis | Python | Risk Management | SHAP | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Threshold Optimization | Unsupervised Learning
Education
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