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About the role
Job Description: - Lead AI Product Pods across Credit Risk, Fraud, and Collections functions. - Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning. - Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement. - Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines. - Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization. - Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards. - Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes. - Define AI platform architecture, operational excellence, SLAs, and incident management practices. - Build, mentor, and scale high-performing AI Engineering and Data Science teams. .
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