Lead Ml Engineer
InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers.
- Rapidly prototype and evaluate new AI/ML methodologies, transitioning research papers and opensource models into functional POCs and scalable AI platform components.
- Design and implement multi-agent systems and stateful workflows using frameworks like LangGraph and modern LLM orchestration tools.
- Validate and optimize traditional machine learning and statistical models for business-critical applications. Write clean, modular, and maintainable Python code, integrating models with APIs, databases, and user-facing services.
- Strong proficiency in Python.
- Good working knowledge of DS theory, including classification, regression, clustering, ranking methods and evaluation.
- Good foundation in Scikit-Learn, Pandas, NumPy, and deep learning libraries (PyTorch or TensorFlow). Should be aware with model evaluation techniques.
- Hands-on experience with LLM orchestration, RAG, and multi-agent frameworks (e.g., LangGraph, AutoGen). Experience with REST APIs (FastAPI/Flask), containerization (Docker), and version control (Git).