Lead Data Scientist/AI/ML Engineer

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. (ref:hirist.tech) .