Senior Ai Researcher Phd M Tech

## About the role We are building a research-driven AI Lab focused on solving some of the hardest problems in Fintech, Credit Risk, Fraud Detection, and Underwriting—using state-of-the-art machine learning and large language models. This role is designed for researchers who want to push boundaries: define new approaches, publish novel work, and see it deployed at scale in real-world systems. ## What you'll work on - Advancing the state-of-the-art in LLMs and applied AI for structured financial decisioning - Designing novel approaches for risk modeling, fraud detection, and underwriting systems - Bridging research and production—taking ideas from papers to high-impact deployments - Publishing at top-tier venues (NeurIPS, ICML, ICLR, ACL, KDD, etc.) ## Who you are - M.Tech (or equivalent Master's) or PhD in Computer Science, Machine Learning, AI, or a related field — mandatory - Demonstrated research excellence, with first-author publications in top-tier conferences - Strong foundation in machine learning, deep learning, and LLMs - Proven ability to independently drive research from problem formulation to publication and deployment - Experience or strong interest in Fintech domains such as Credit Risk, Fraud Detection, or Underwriting ## Bar for this role We are intentionally selective. This role is aimed at individuals operating at the level of top-tier research labs. Candidates without an M.Tech or PhD will not be considered ## Why join - Define your own research agenda with real-world impact - Work on problems where cutting-edge research directly influences production systems - Operate in a high-autonomy, research-first environment with a strong emphasis on intellectual rigor and execution