Ideal Candidate: - Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles. Experience: - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems. - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions. - Candidate's current designation must be Lead or above. - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment. - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing. - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting. - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms. - Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices. Education: - B.TECH / M.TECH from Tier 1 Colleges (IITs, NITs, BITS) are considered. Age: - Candidate's age should be below 37 years. CTC: - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy. Preferred Experience: - Candidates currently working as Lead, Principal, Engineering Manager, Associate Director, or Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred. - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in 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.

Pune

Lead Data Scientist - AI/ML - IIT/NIT/BITS 

Job Description for Lead Data Scientist - AI/ML - IIT/NIT/BITS  in The Seo Byte in  Pune for (10-12) years of experience. Apply Now!