Tech Stack

Description

In this role, you will build ML/DL and Generative AI solutions for high-impact financial use cases, including fraud detection, risk scoring, and personalization. You'll develop and deploy GenAI applications using LLMs, design Agentic AI workflows, and collaborate with cross-functional teams to maintain MLOps pipelines.

Requirements

• 2–3 years experience in Data Science / ML / DL
• Strong Python skills
• Experience with ML frameworks (PyTorch, TensorFlow, XGBoost)
• Hands-on with GenAI, LLMs, prompt engineering
• Experience with LangChain, LangGraph, and MLOps tools

Responsibilities

• Develop ML/DL models for fraud detection, risk scoring, and personalization
• Build and deploy GenAI applications using LLMs
• Design and implement Agentic AI workflows
• Work with LangChain and LangGraph for orchestration
• Build APIs for model deployment and maintain MLOps pipelines