Senior Associate AI & Data Science

Posted 17 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Build, train, evaluate, and deploy machine learning and generative AI models for fraud detection, financial agents, and safety systems. Develop high-throughput data and inference pipelines using distributed technologies, optimize GPU model serving, maintain feature stores, fine-tune language models, and implement evaluation guardrails. Collaborate with architects and engineers while applying MLOps, cloud, containerization, and software engineering practices.
Summary Generated by Built In
Key Responsibilities:

1. Hands-On Execution (The "What") - Model Development: Build, train, and evaluate ML and GenAI models, taking them from experimentation to production with guidance from senior engineers. - Pipelines: Implement and maintain data and inference pipelines, ensuring they meet reliability and latency targets. - Collaboration: Work closely with senior architects and engineers, contributing to code reviews and learning production best practices.

2. Predictive AI & Scale (The "Fast") - Fraud at Scale: Contribute to our Fraud Risk Management (FRM) system, building features and models for streaming inference using Flink/Spark. - Feature Store: Help build and maintain features that serve both high-velocity transactional data and dense vector embeddings. - Optimization: Profile and optimize model serving to improve throughput on our GPU clusters.

3. Generative & Agentic AI (The "Smart") - AI Agents: Support the development of AI Agents that navigate banking interfaces, execute refunds, and detect social engineering attacks. - LLM Fine-Tuning: Assist in fine-tuning SLMs (Small Language Models) on secured financial data for edge deployment. - Safety Guardrails: Implement guardrails and evaluations that prevent hallucination in critical financial advice.


The Ideal Candidate Profile : You are a hands-on builder.
  • You love to code, you are curious about how things work end-to-end, and you are eager to grow into a scale-veteran engineer.
  • Essential Experience (3+ Years) - Dual Exposure: Hands-on experience in Classic ML AND/OR Modern GenAI (LLMs/Agents).
  • Bonus if you have shipped either type of system to production.
  • Scale Curiosity: Experience working with production systems and a strong desire to understand high-throughput, distributed computing.
  • Deep Learning Fundamentals: Solid grasp of ML/DL fundamentals and the underlying math.
  • Familiarity with Transformers or GNNs is a plus.
  • Collaboration: Comfortable working in cross-functional teams and aligning your work with business goals.

Must-Have Skills -
  • Programming: Strong proficiency in Python and solid software engineering fundamentals (clean code, version control with Git, testing).
  • Core ML: Hands-on experience building, training, and evaluating ML models using scikit-learn, XGBoost/LightGBM, and PyTorch or TensorFlow.
  • GenAI / LLMs: Practical experience with LLMs – prompt engineering, RAG, fine-tuning, and frameworks such as LangChain/LangGraph and Hugging Face Transformers.
  • Data Handling: Strong SQL and data wrangling skills (Pandas/NumPy); experience working with large datasets.
  • Big Data / Pipelines: Working experience with Spark or Kafka/Flink for building data and inference pipelines.
  • Deployment: Experience containerizing and deploying models (Docker), exposing them via REST/gRPC APIs, and basic familiarity with Kubernetes. - MLOps: Exposure to experiment tracking and model lifecycle tools (MLflow) and CI/CD for ML.
  • Cloud: Hands-on with at least one major cloud platform (AWS, GCP, or Azure).
  • Fundamentals: Solid grasp of statistics, probability, and deep learning concepts (including Transformer architecture).
  • Communication: Ability to clearly document work and collaborate within cross-functional teams.

Technical Stack
- ML Ops: Kubernetes, Kubeflow, Ray, MLflow.
- Big Data: Spark, Kafka, Flink, Iceberg/Hudi.
- GenAI: vLLM, LangGraph, DeepSpeed, Unsloth.
- Cloud/Infra: Working knowledge of GPU/TPU usage and cost awareness. The Package


Growth: Learn directly from Principal Architects and senior engineers shaping the nation's AI.
Resources: Access to state-of-the-art compute infrastructure and proprietary datasets that are unique in the world.
Legacy: The opportunity to say, "I helped build the AI that powers the Indian Economy."

Skills Required

  • 3+ years of experience with classic machine learning and/or modern GenAI, including LLMs or AI agents
  • Hands-on experience building, training, and evaluating machine learning models
  • Strong proficiency in Python
  • Solid software engineering fundamentals, including clean code, Git, and testing
  • Experience with scikit-learn, XGBoost or LightGBM, and PyTorch or TensorFlow
  • Practical LLM experience with prompt engineering, RAG, and fine-tuning
  • Experience with LangChain or LangGraph and Hugging Face Transformers
  • Strong SQL and data-wrangling skills using Pandas and NumPy
  • Experience working with large datasets
  • Experience with Spark or Kafka/Flink for data and inference pipelines
  • Experience containerizing and deploying models with Docker
  • Experience exposing models through REST or gRPC APIs
  • Basic familiarity with Kubernetes
  • Exposure to MLflow and CI/CD for machine learning
  • Hands-on experience with AWS, GCP, or Azure
  • Solid understanding of machine learning, deep learning, statistics, probability, and Transformer architecture
  • Ability to document work and collaborate across functional teams
  • Experience with Transformers or GNNs
  • Experience shipping machine learning or GenAI systems to production
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The Company
HQ: Mumbai, Maharashtra
2,124 Employees
Year Founded: 2005

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

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