National Lead - AI Unit

About the role

We are looking for a leader who can build and run AI product Pods for Credit Risk, Fraud Risk Management, and collection & recovery. This role will power next-generation decisioning across lending lifecycle- understanding lifecycle- underwriting, portfolio monitoring, fraud controls, early warning, allocation strategy optimization, and recovery uplift – by delivering production-grade ML systems with measurable impact.

What you'll do

• Own the AI Pod operating model across Credit Risk, Fraud/FRM, and collections/Recovery: outcomes
• Roadmap, delivery cadence, and cross-team dependencies
• Lead end-to-end model lifecycle: problem framing, feature strategy, training, evaluation, development
• Monitoring, and continuous improvement with clear scorecards per use-case
• Build large-scale ML systems: distributed training pipelines, feature stores, model registry, CI/CD for ML, and

What you need

• 10–18 yrs of experience
• Machine learning
• Python
• Spark
• Kafka
• Credit risk
• CI/CD
• PhD or B.Tech or B.E.

Good to have

• Java
• Scala
• Kubernetes
• Microservices
• Incident response
• Underwriting