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

Job Description:

Strong Lead Data Science, AI Engineer, and Machine Learning Engineer profiles.

Mandatory Experience:

- 1. Experience: Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

- 2. Experience: 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.

- 3. Experience: Candidate's Current designation must be Lead or above.

- 4. Experience: Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

- 5. Experience: Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

- 6. Experience: Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

- 7. Experience: Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

- 8. Experience: 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.

- 9. Education: B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are considered.

- 10. Age: Candidate's Age should be below 37 years.

- 11. CTC: The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Preferred Experience:

- 1. Experience: Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

- 2. Experience: Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

- 3. Experience: Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.