About The Role

We are looking for an experienced Lead AI/ML Engineering Manager to lead AI Product Pods across Credit Risk, Fraud Risk Management (FRM), and Collections & Recovery. The ideal candidate will have extensive experience building and deploying production-grade Machine Learning systems that deliver measurable business impact across the lending lifecycle.

This role requires strong technical leadership, hands-on AI/ML expertise, and experience leading high-performing engineering teams within regulated BFSI environments.

Key Responsibilities

- Lead AI Product Pods across Credit Risk, Fraud Risk Management, and Collections functions.
- Design, develop, and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
- Own the complete ML lifecycle including:
- Feature Engineering
- Model Training
- Model Evaluation
- Deployment
- Monitoring
- Continuous Improvement

- Design scalable ML platforms including:

- Distributed ML Infrastructure
- Feature Stores
- Model Registry
- MLOps Pipelines

- Develop AI solutions for:

- Credit Underwriting
- Credit Risk Models
- Fraud Detection
- Graph ML
- Early Warning Systems
- Portfolio Risk Monitoring
- Collections Optimisation
- Recovery Forecasting
- Propensity Models

- Drive model governance, explainability, monitoring, compliance, and audit readiness in accordance with BFSI regulations.
- Collaborate with Product, Engineering, Risk, Data Science, and Business stakeholders to deliver AI-driven outcomes.
- Define AI platform architecture, operational excellence, SLAs, production monitoring, and incident management practices.
- Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Mandatory Requirements Experience

- 10+ years of experience in AI Engineering, Data Science, or Machine Learning.
- Current designation must be Lead or above (Lead / Principal / Engineering Manager / Associate Director / Director).
- Robust experience building production-grade Machine Learning systems.




- Hands-on experience developing AI/ML solutions in:
- Credit Risk
- Fraud Risk Management (FRM)
- Collections & Recovery

- Proven experience designing and deploying large-scale distributed ML systems, including:

- Model Training
- Fine-tuning
- Inference
- Scalable Model Serving
- Production Deployment

- Strong leadership experience managing AI/ML teams and delivering end-to-end enterprise AI platforms.

Technical Skills Programming

- Python (Expert)

AI/ML

- Machine Learning
- Deep Learning
- Feature Engineering
- Model Explainability
- Model Monitoring
- MLOps
- Distributed Machine Learning

Big Data & Infrastructure

- Apache Spark
- Apache Kafka
- Kubernetes
- Distributed Computing
- REST APIs / Microservices
- CI/CD Pipelines
- Feature Store
- Model Registry

AI Solutions Experience

Must have experience building one or more of the following:

- Credit Risk Models
- Fraud Detection Models
- Graph Machine Learning
- Early Warning Systems
- Portfolio Monitoring
- Collections Optimisation
- Recovery Forecasting
- Propensity Models

BFSI Governance

Hands-on Experience With

- PII Handling
- Model Governance
- Model Risk Management
- Auditability
- Compliance
- Secure-by-Design Architecture
- Approval Workflows

Educational Qualification

Mandatory

- B.Tech / M.Tech from Tier-1 institutes:
- IITs
- NITs
- BITS Pilani

Preferred Qualifications

Candidates currently working as:

- Lead AI Engineer
- Principal AI Engineer
- Engineering Manager
- Associate Director
- Director

From Reputed

- Product Companies
- FinTech Organisations
- Banks
- NBFCs
- Global Capability Centres (GCCs)

will be preferred.

Indian professionals currently working overseas (NRI) and planning permanent relocation to India are encouraged to apply.

Experience With The Following Is Highly Preferred

- Graph ML
- Vector Databases
- LLM-enabled Decisioning Systems
- Distributed Training Frameworks
- Enterprise AI Platforms
- Large-scale AI Infrastructure

Skills: data,learning,credit,ml,management,credit risk,machine learning,fraud,risk

📌 AI/ML Engineering Manager (Pune)
🏢 CG VAK Software & Exports
📍 Pune