Associate Data Science

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

Benefits offered by this job

Medical and life insurance

Employee Assistance Program

Parental Leave

Daycare Support

Mobility Benefits

Home Loan Interest Support

Job summary

NPCI International in Mumbai is hiring a Data Scientist – AI Engineer to focus on innovative digital payment solutions. The successful candidate will work within the Market Innovation team on advanced AI systems, including fraud detection and generative AI applications.

This role requires a strong background in machine learning, programming tools like PyTorch, and the ability to design scalable AI systems. NPCI fosters a culture of inclusion and innovation, offering various employee perks and opportunities for professional growth.

Qualifications

• Strong foundation in mathematics, probability, and statistics.
• Hands-on experience with prompt engineering and fine-tuning.
• Experience with graph-based fraud detection.

Responsibilities

• Develop and deploy ML/DL models.
• Work on imbalanced datasets using advanced techniques.
• Build LLM-powered applications.
• Design end-to-end AI systems.
• Collaborate with data engineers and product teams.

Skills

Supervised learning

Unsupervised learning

Statistical modeling

Tree models

Neural Networks

Transformers

Generative AI

Graph AI

Education

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

Tools

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.

To learn more about our company please click on link AboutNPCI

Our Culture

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

THE NPCI WAY – Our Guiding Principles

Five Tenets of the NPCI WAY

• ForwardThinking Mind-Set
• Customer First
• Lead With Purpose
• Passion to Deliver
• All Succeed Together

Employee Perks and Benefits

Insurance & Wellness:

• Comprehensive Coverage: Medical, accidental, and life insurance.
• Employee Assistance Program: Onsite medical center, financial/legal counselling, mental wellness.
• Annual Wellness Bouquet: Holistic wellbeing support.

Family & Childcare:

• Parental Leave: Inclusive maternity and paternity leave.
• Daycare Support: Assistance for working parents.

Mobility & Lifestyle:

• Mobility Benefits: Relocation, transfers, and travel support.
• Home Loan Interest Support: Up to 50 % reimbursement.
• Mobile Reimbursement: New handset every 2 years.
• Car Lease, Salary Advance, Subsidized Meals.
• Reward & Recognition Program.
• Technology Innovation: Patents and IP Rights policy.

Retirement Planning:

• Provident Fund (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.

Highlighted Work Areas

• Graph‑based fraud detection systems.
• Agentic AI & LLM‑powered platforms (RAG, MCP, workflows).
• GPU/CUDA optimized AI pipelines.
• Privacy‑preserving and federated AI systems.

Job Information

• 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

• 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.
• Build LLM‑powered applications (chatbots, complaint intelligence, document analysis).
• Implement 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.
• Manage latency & throughput.
• GPU performance (CUDA‑based optimization).
• 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).
• Integrate models into batch and real‑time production systems.
• Monitor performance stability and business impact.
• Collaborate 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:

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