Hiring: Lead Data Scientist / AI/ML Engineer
Company: Bajaj Finserv
Department: Software & Technology
Location: Pune (Work from Office)
Experience: 10–12 Years
Open Positions: 3
CTC: ₹42–70 LPA (75% Fixed + 25% Variable)
Working Days: Monday–Friday (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: ₹42–70 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
Pay: Up to ₹70,000.00 per month
Benefits:
- Flexible schedule
- Provident Fund
Work Location: In person
