Associate Fraud and Federated AI

NPCI; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Comprehensive Coverage

Employee Assistance Program

Parental Leave

Relocation support

Mobile reimbursement

Car lease

Job summary

NPCI is seeking a Data Scientist - Associate Fraud and Federated AI to advance India-scale AI solutions. You will develop ML/DL models, including XGBoost, NN, and Transformer architectures, and build graph AI applications for fraud detection and risk modeling.

You will collaborate with IITs/IISc and cross-functional teams to deploy production-grade ML pipelines, focusing on privacy-preserving and federated AI, latency reduction, and robust performance.

Qualifications

• Strong experience in ML/DL model development and deployment.
• Experience with imbalanced datasets and advanced sampling methods.

Responsibilities

• Develop and deploy ML/DL models (RF, XGBoost, NN, Transformers).
• Build LLM-powered applications (chatbots, document analysis) and RAG pipelines.
• Design scalable ML pipelines and APIs; optimize GPU performance and latency.

Skills

ML & Data Science

Supervised & unsupervised learning

Statistical modeling

Tree models

NNs & CNNs

Transformers & GANs

LLMs & Generative AI

Prompt engineering

RAG pipelines

Vector databases

Graph AI

GNN / GCN / GAT

Python

SQL

PyTorch

TensorFlow

PyTorch Geometric

Education

B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics

Tools

Python

SQL

PyTorch

TensorFlow

PyTorch Geometric

Job description

National Payments Corporation of India (NPCI) | Full Time

The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a “Not for Profit” company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world-class digital payment infrastructure through innovative and efficient retail payment platforms. As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.

Our Culture

TheNPCIWAY –OurGuidingPrinciples

At NPCI, we foster a culture of Inclusion, Innovation, and a High- Performance Workplace .

The NPCIWAY isnotjustaframework - it’sasharedcommitmentbyevery individual to align with our evolving business needs, dynamic market conditions, and workforce expectations.

FiveTenetsoftheNPCIWAY

• ForwardThinkingMind-Set
• CustomerFirst
• LeadWith Purpose
• PassiontoDeliver
• AllSucceedTogether

Employee Perks and Benefits

Insurance&Wellness:

• ComprehensiveCoverage :Medical,accidental,andlifeinsurance.
• Employee Assistance Program : Onsite medical center, financial/legal counselling, mental wellness.
• AnnualWellnessBouquet :Holisticwellbeingsupport

Family &Childcare:

• ParentalLeave :Inclusivematernityandpaternityleave.
  
• Nanny at home Support: Assistance for Working Parents
  

Mobility&Lifestyle:

• MobilityBenefits :Relocation,transfers,andtravelsupport.
  
• HomeLoanInterestSupport :Upto50%reimbursement*
  
• MobileReimbursement :Newhandsetevery2years.
  
• CarLease,SalaryAdvance,SubsidizedMeals.
• Reward&RecognitionProgram.
• TechnologyInnovation: PatentsandIPRightspolicy.

RetirementPlanning:

• ProvidentFund(PF) and Gratuity Contributions .

Why Join Us

At NPCI, you’ll be part of a purpose-driven organization shaping the future of digital payments in India and beyond. NPCI offers a unique opportunity to work on cutting-edge projects that directly impact millions. We foster a culture of innovation, inclusion, and high performance, where every individual is empowered to lead with purpose and deliver with passion. With a strong focus on employee wellbeing, continuous learning, and collaborative success, NPCI is more than just a workplace - it’s a platform to grow, contribute, and make a meaningful difference.

You will be part of NPCI’s Market Innovation team, working at the intersection of advanced machine learning, deep learning, graph AI, and Generative AI to build next-generation intelligent systems for India’s digital payments ecosystem.

This role focuses on solving India-scale problems such as fraud detection, mule/AML risk modeling, transaction intelligence, and conversational AI, using both classical ML and cutting-edge AI architectures (LLMs, GNNs, Transformers).

You will design end-to-end AI systems—from problem formulation, feature engineering, and model development to GPU-accelerated optimization and production deployment, ensuring low latency, scalability, and robustness.

The role offers a unique opportunity to work on:

• Graph-based fraud detection systems
  
• LLM-powered platforms (RAG workflows)
  
• GPU/CUDA optimized AI pipelines
  
• Privacy-preserving and federated AI systems
  

You will collaborate with top academic institutions (IITs/IISc) and cross-functional teams to push the boundaries of applied AI in financial systems.

Job details

• Job Title: Data Scientist -Associate Fraud and Federated AI
  
• Division: NPCI Market Innovation
  
• Experience: 1 to 3 Years
  
• Education: B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics or related field
  
• Employment Type: Full-time
  
• Role Type: Permanent
  

Key responsibilities

Machine Learning & Advanced Modeling

• Develop and deploy ML/DL models (Logistic Regression, RF, XGBoost, NN, CNN, Transformers, GANs)
  
• Work on imbalanced datasets using advanced sampling and cost-sensitive learning
  

Graph AI & Advanced Systems

Generative AI

• Build LLM-powered applications (chatbots, complaint intelligence, document analysis)
  

Implement:

• Prompt engineering & LLM fine-tuning
  
• Perform EDA, feature engineering (temporal, behavioral, aggregated features)
  
• Work with structured, semi-structured, and unstructured data
  
• Latency & throughput
  
• GPU performance (CUDA-based optimization)
  

Use libraries such as:

• Design custom loss functions (weighted BCE, cost-sensitive)
  

Apply business-aligned metrics:

• Precision@K, Recall, ROC-AUC, PR-AUC
  
• Use robust validation techniques (cross-validation, time-based splits)
  

Deployment & Production Systems

• Integrate models into batch and real-time production systems
  
• Design scalable ML pipelines & APIs
  

Monitor:

• Performance stability
  
• Business impact
  
• Work with data engineers, product teams, and business stakeholders
  
• Contribute to research, innovation, and academic collaborations
  
• Stay updated on latest AI advancements (LLMs, Graph AI, Federated Learning)
  

Requirements

Required Technical Skills

Core ML & Data Science

• Strong in:
  • Supervised & unsupervised learning
    
  • Statistical modeling (Logistic Regression, DA)
    
  • Tree models (RF, XGBoost, LightGBM)
    
• NN, CNN, Transformers, GANs
  

Generative AI & LLM Stack

• Hands-on experience with:
  • LLMs (OpenAI, open-source models)
    
  • Prompt engineering, fine-tuning
    
  • RAG pipelines & vector databases
    

Graph AI

• Experience with:
  • GNN, GCN, GAT
    
  • Graph-based fraud detection
    
  • Network analytics
    

Programming & Tools

• Strong proficiency in:
  • Python (NumPy, Pandas, scikit-learn)
  • SQL (large-scale data processing)
• Frameworks:
  • PyTorch / TensorFlow
  • PyTorch Geometric

Good to have skills and experience required

Experience in:

• Payments / fintech / banking domain

Exposure to:

• Graph analytics on transactional data
• Federated learning & privacy-preserving AI
• Real-time streaming systems

Experience with:

Research experience:

• Publications in ML/AI conferences or journals

Ability to:

• Design AI models inspired by mathematics/physics principles