Roles & Responsibilities
- 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.
Ideal Candidate
- 10+ years of experience in Data Science, Applied AI, Machine Learning, or ML Engineering with proven team leadership experience.
- Strong background in building and deploying production-grade AI/ML systems at enterprise scale.
- Hands-on expertise in Credit Risk, Fraud Risk Management (FRM), Collections, Recovery, or Lending Analytics within the BFSI domain.
- Experience leading AI Engineering or Machine Learning teams and driving end-to-end product delivery.
- Strong programming skills in Python with experience in Spark, Kafka, Kubernetes, APIs, Microservices, and MLOps.
- Expertise in distributed machine learning, model training, fine-tuning, model serving, and scalable AI platform development.
- Strong understanding of MLOps, Feature Stores, Model Registry, Experiment Tracking, CI/CD pipelines, and production monitoring.
- Experience with ML model governance, model evaluation, drift detection, explainability, and BFSI regulatory compliance.
- Excellent stakeholder management, program execution, and cross-functional leadership skills with the ability to mentor and scale high-performing AI teams.
- Candidates with experience in leading AI initiatives for Banking, Financial Services, NBFCs, or FinTech organizations will be highly preferred. NRI candidates planning to relocate and settle in India are also preferred.
Perks, Benefits & Culture
Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India's most diversified Non-banking financial companies, and among Asia's top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we're present in India.
