Director of Artificial Intelligence

Hiring Alert ! Leadership – AI (Credit Risk, Fraud & Collections)

CTC: Up to 60 to 70 LPA** | Experience: 10 - 15 Years | Location: Pune, Indi

aPreferred Education: Candidates from Tier-1 and other reputed institutions such as IITs, NITs, BITS Pilani, IIITs, leading universities, or equivalent premier colleges are highly preferred

.
We are looking for a highly accomplished AI leader to drive large-scale AI and Machine Learning initiatives across Credit Risk, Fraud Risk Management, and Collections & Recovery function

s.
This is a strategic leadership role for professionals who have successfully built and scaled production-grade AI/ML systems that deliver measurable business outcomes in highly regulated environments. You will lead cross-functional AI product pods, define the AI roadmap, and build intelligent decisioning systems that transform the lending lifecyc

le.
Key Responsibili

ties
• Lead AI product teams focused on Credit Risk, Fraud Detection, Portfolio Monitoring, Early Warning Systems, Collections Optimization, and Recovery Anal

ytics• Own end-to-end AI/ML lifecycle including problem definition, feature engineering, model development, deployment, monitoring, governance, and continuous improv

ement• Build and scale distributed machine learning platforms, feature stores, model registries, and MLOps frame

works• Develop advanced credit risk models, fraud propensity engines, anomaly detection systems, graph-based machine learning solutions, and collections optimization m

odels• Drive large-scale model training, fine-tuning, serving, and deployment across enterprise environ

ments• Establish AI operating models, service reliability standards, monitoring frameworks, and stakeholder governance proc

esses• Lead, mentor, and grow high-performing teams of Data Scientists, ML Engineers, and AI Specia

lists
Required Exp

ertise
• 10+ years of experience in Data Science, Applied AI, Machine Learning, or ML Engineering leadershi

p roles• Proven success delivering AI solutions with measurable impact in Credit Risk, Fraud Analytics, Financial Risk Management, Collections, or Recovery

domains• Strong expertise in Python, Machine Learning, Deep Learning, Distributed Systems, MLOps, and AI Platform Engi

neering• Hands-on experience with Spark, Kafka, Kubernetes, CI/CD pipelines, Feature Stores, Model Registries, APIs, and Cloud-based AI eco

systems• Deep understanding of model governance, explainability, fairness, drift monitoring, champion-challenger frameworks, and regulatory compliance requi

rements
Preferred Ba

ckground
• Experience leading large-scale AI transformation programs within Banking, Financial Services, FinTech, Lending, or Risk Analytics env

ironments• Master's degree in Engineering, Mathematics, Statistics, Computer Science, or related fields preferred; PhD candidates will be high

ly valued• Strong people leadership, stakeholder management, program execution, and strategic decision-making cap

abilities
If you are passionate about building enterprise-scale AI systems, driving innovation at scale, and shaping the future of intelligent decisioning, we would love to connect