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

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.