Associate Data Science

NPCI; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Comprehensive Coverage

Employee Assistance Program

Annual Wellness Bouquet

Parental Leave

Nanny at home Support

Mobility Benefits

Home Loan Interest Support

Mobile Reimbursement

Car Lease

Salary Advance

Subsidized Meals

Reward & Recognition

IP Rights Policy

Job summary

NPCI is hiring Data Scientist – AI Engineer to design and deploy ML/DL models for India-scale problems in the payments ecosystem. Work on graph-based fraud detection, agentic AI platforms, and GPU-accelerated pipelines, while collaborating with IITs/IISc and cross-functional teams to deliver scalable, privacy-conscious AI solutions.

The role emphasizes production-ready systems, low latency, and continuous learning in a fast‑paced environment. Full-time permanence in Market Innovation team.

Qualifications

• Strong foundation in ML/DL and graph AI for building scalable systems.
• Experience with imbalanced datasets, evaluation metrics and production-ready pipelines.
• Ability to translate business problems into AI solutions and collaborate with cross-functional teams.

Responsibilities

• Develop and deploy ML/DL models for fraud detection and risk modeling.
• Build graph-based AI systems, agentic workflows, and LLM-powered applications.
• Collaborate with academic institutions and product teams to scale AI solutions.
• Design robust data pipelines and production-grade ML systems with monitoring.

Skills

ML/DL modeling

GNN / Graph AI

LLM / Generative AI

Model deployment

Python

GPU / CUDA

Education

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

Tools

PyTorch

PyTorch Geometric

RAPIDS

cuDF

cuML

cuGraph

CUDA

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, Agentic AI systems).

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
  
• Agentic AI & LLM-powered platforms (RAG, MCP, 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 Title: Data Scientist – AI Engineer
  
• Division: NPCI Data Analytics – Market Innovation
  
• 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 & Agentic Systems

• Build LLM-powered applications (chatbots, complaint intelligence, document analysis)
  
• Implement:
  • RAG pipelines
    
  • Agentic workflows & MCP (Model Context Protocols)
    
  • 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:
  • RAPIDS, cuDF, cuML, cuGraph, PyTorch Geometric
    
• 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:
  • Model drift
    
  • 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:

• Prompt engineering, fine-tuning
  
• Agent frameworks & MCPs
  

Graph AI

Experience with:

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

Programming & Tools

Strong proficiency in:

Frameworks:

• PyTorch / TensorFlow
  
• PyTorch Geometric
  

Key Skills and Experience Required

Strong foundation in:

• Mathematics, probability, statistics
  
• Data structures & algorithms
  

Experience with:

• Imbalanced datasets & sampling techniques
  
• Custom loss functions & business metrics
  

Knowledge of:

Strong:

• Problem-solving ability
  
• Ability to translate business problems into scalable AI systems