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
- Location: Hyderabad
- Role Type: Permanent
Machine Learning & Advanced Modeling
- Develop and deploy ML/DL models (Logistic Regression, RF, XGBoost, NN, CNN, Transformers, GANs)
- Build models for fraud detection, AML, anomaly detection, transaction intelligence
- Work on imbalanced datasets using advanced sampling and cost-sensitive learning
- Design Graph AI models: GNN, GCN, GAT, temporal graph networks
- Apply network analytics for fraud rings, mule detection, behavioral risk signals
- Build LLM-powered applications (chatbots, complaint intelligence, document analysis)
- Implement:
- RAG pipelines
- Agentic workflows & MCP (Model Context Protocols)
- Prompt engineering & LLM fine-tuning
- RAG pipelines
- Perform EDA, feature engineering (temporal, behavioral, aggregated features)
- Work with structured, semi-structured, and unstructured data
- Optimize models for:
- Latency & throughput
- GPU performance (CUDA-based optimization)
- Latency & throughput
- Use libraries such as:
- RAPIDS, cuDF, cuML, cuGraph, PyTorch Geometric
- 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
- 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
- Design scalable ML pipelines & APIs
- Monitor:
- Model drift
- Performance stability
- Business impact
- Model drift
- 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)
RequirementsRequired Technical Skills
Core ML & Data Science
- Strong in:
- Supervised & unsupervised learning
- Statistical modeling (Logistic Regression, DA)
- Tree models (RF, XGBoost, LightGBM)
- Supervised & unsupervised learning
- Deep Learning:
- NN, CNN, Transformers, GANs
- NN, CNN, Transformers, GANs
- Hands-on experience with:
- LLMs (OpenAI, open-source models)
- Prompt engineering, fine-tuning
- RAG pipelines & vector databases
- Agent frameworks & MCPs
- LLMs (OpenAI, open-source models)
- Experience with:
- GNN, GCN, GAT
- Graph-based fraud detection
- Network analytics
- GNN, GCN, GAT
- Strong proficiency in:
- Python (NumPy, Pandas, scikit-learn)
- SQL (large-scale data processing)
- Python (NumPy, Pandas, scikit-learn)
- Frameworks:
- PyTorch / TensorFlow
- PyTorch Geometric
- PyTorch / TensorFlow
- Strong foundation in:
- Mathematics, probability, statistics
- Data structures & algorithms
- Mathematics, probability, statistics
- Expertise in:
- Feature engineering & model evaluation
- Handling large-scale datasets
- Feature engineering & model evaluation
- Experience with:
- Imbalanced datasets & sampling techniques
- Custom loss functions & business metrics
- Imbalanced datasets & sampling techniques
- Knowledge of:
- Model deployment & production pipelines
- Model monitoring & performance tracking
- Model deployment & production pipelines
- Strong:
- Problem-solving ability
- Communication & stakeholder management
- Problem-solving ability
- Ability to translate business problems into scalable AI systems
Skills Required
- B.Tech, M.Tech, MSc, or MCA in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field
- PhD in a relevant field
- Strong proficiency in Python, NumPy, Pandas, scikit-learn, and SQL
- Experience with supervised and unsupervised learning, statistical modeling, tree-based models, and deep learning
- Experience with Logistic Regression, Random Forest, XGBoost, LightGBM, neural networks, CNNs, Transformers, and GANs
- Hands-on experience with LLMs, prompt engineering, fine-tuning, RAG pipelines, vector databases, agent frameworks, and MCP
- Experience with GNN, GCN, GAT, graph-based fraud detection, and network analytics
- Experience with PyTorch or TensorFlow and PyTorch Geometric
- Strong foundation in mathematics, probability, statistics, data structures, and algorithms
- Expertise in feature engineering, model evaluation, and handling large-scale datasets
- Experience with imbalanced datasets, sampling techniques, custom loss functions, and business metrics
- Knowledge of model deployment, production pipelines, monitoring, and performance tracking
- Strong problem-solving, communication, and stakeholder management skills
- Ability to translate business problems into scalable AI systems
What We Do
NPCI is an umbrella organisation for all retail payment systems in India. It was set up with the support & guidance from Reserve Bank of India (RBI) & Indian Banks Association (IBA). A registered company under Section 8 of the Companies Act, 2013. Watch the NPCI Corporate AV - https://youtu.be/RGl9YQ6CB20 Products & Services Unified Payments Interface Unique payment solution which empowers a recipient to initiate the payment request from a smartphone. It facilitates 'virtual payment address' as a payment identifier for sending & collecting money & works on single click 2 factor authentication. Immediate Payment Service A 24X7, real time, cost effective, independent channel, retail payment service, introduced by NPCI, empowering customers to transfer money instantly with banks & RBI authorised PPIs across India. RuPay Robust card scheme designed to offer payment products with superior features & processes specifically designed to cater to diverse consumer needs. *99# USSD based mobile banking platform that makes banking services accessible to all the bank account holders on their mobile phones. National Automated Clearing House Centralised payment system developed with an aim to consolidate multiple ECS systems running across the country & provide a framework for the removal of local barriers/inhibitors. Aadhaar Enabled Payment System Bank led model which allows online financial inclusion transactions at micro-ATMs through the business correspondent of any bank using the Aadhaar authentication. e-KYC Electronic way of conducting authentic & real time KYC of a customer using Aadhaar authentication. Cheque Truncation System Electronic image of the cheque is transmitted to the drawee bank by the clearing house, along with relevant information. National Financial Switch Facilitates routing of ATM transactions through inter-connectivity between its member institutions thereby enabling the citizens of the country to utilise any ATM of a connected entity
