Lead Data Scientist / AI/ML Engineer (Satara)

Hiring: Lead Data Scientist / AI/ML Engineer Company: Bajaj Finserv Department: Software & Technology Location: Pune (Work from Office) Experience: 1012 Years Open Positions: 3 CTC: 4270 LPA (75% Fixed + 25% Variable) Working Days: MondayFriday (5 Days) Notice Period: Immediate to 30 Days Preferred Candidate Location: Open to candidates across India (Relocation to Pune required) About the Role Bajaj Finserv is looking for an experienced Lead Data Scientist / AI/ML Engineer to lead the design, development, and deployment of enterprise-scale AI/ML platforms. This is an excellent opportunity for professionals with deep expertise in Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, and large-scale machine learning systems within the BFSI domain. Key Responsibilities - Lead the end-to-end design, development, deployment, and optimization of production-grade AI/ML solutions. - Build scalable machine learning platforms for Credit Risk, Fraud Detection, Collections, Recovery, and Portfolio Monitoring. - Design and deploy distributed ML systems, including model training, fine-tuning, inference, scalable serving, and production deployment. - Develop enterprise AI solutions using Python, Spark, Kafka, Kubernetes, APIs/Microservices, Feature Stores, Model Registry, and CI/CD pipelines. - Implement advanced AI capabilities such as Graph ML, Vector Databases, LLM-enabled decisioning, and distributed AI infrastructure. - Ensure compliance with BFSI governance standards, including model governance, auditability, PII handling, secure-by-design architecture, approval workflows, and model risk management. - Lead AI/ML engineering teams, mentor technical talent, and collaborate with business, product, and engineering stakeholders to deliver impactful AI solutions. Mandatory Requirements - 10+ years of experience in Data Science, AI/ML Engineering, or Machine Learning Engineering. - Current designation must be Lead or above (Lead / Principal / Engineering Manager / Associate Director / Director). - Hands-on experience building production-grade AI/ML systems. - Strong expertise in Credit Risk, Fraud Risk Management (FRM), Collections & Recovery with successful delivery of business-critical AI solutions. - Experience designing and deploying: - Credit Risk Models - Fraud Detection Models - Graph ML Solutions - Early Warning Systems - Portfolio Monitoring Models - Collections Optimization Models - Propensity Models - Recovery Forecasting Models - Strong programming expertise in Python with hands-on experience in: - Apache Spark - Kafka - Kubernetes - APIs & Microservices - CI/CD - Feature Store - Model Registry - Distributed Computing - Proven leadership experience managing AI/ML teams, mentoring engineers, and owning end-to-end delivery. - Strong experience working within BFSI governance, including PII handling, auditability, compliance, model governance, secure architecture, and model risk management. - B.Tech/M.Tech from Tier-1 Institutes (IITs, NITs, BITS). - Candidate age should be below 37 years. Preferred Profile - Currently working in Product Companies, FinTech, Banking, NBFC, or Global Capability Centers (GCCs). - Professionals currently working overseas (NRI) who are planning to relocate permanently to India are encouraged to apply. - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure. Compensation & Benefits - Competitive CTC: 4270 LPA - 75% Fixed + 25% Variable - Opportunity to work on enterprise-scale AI platforms with one of India's leading financial services organizations. Interested candidates, please share your updated resume along with the following details: - Current Company - Current Designation - Total Experience - Relevant AI/ML Experience - Experience in Credit Risk / Fraud Risk / Collections - Current CTC - Expected CTC - Notice Period - Current Location - Highest Qualification Compensation: Up to 70,000.00 per month Benefits - Versatile schedule - Provident Fund Work Location: In person .