Tech Lead - AI

Team: AI Architecture – Central AI Function

Title: Technical Lead AI

Educational Qualification: BTech / MTech from IITs, NITs, BITS Pilani, NSUT, DTU, IIITs, or other premier engineering institutes, with relevant experience.

Experience: 5+ Years

Job Objective:

We are looking for an AI Engineer with 5+ years of experience to join the Info Edge AI architecture team. In this role, you will be helping to build AI systems. You will lead the implementation of complex architectural designs, guide on the R&D-to-production lifecycle management, and help define scalable system for traditional machine learning and cutting-edge Agentic AI frameworks.

Key Responsibilities:

· Partner directly with head AI Architect to design scalable, secure, and modular AI/ML platforms.

· Design and implement centralized ML platform including feature store, model registry, experiment tracking, serving and inference layer.

· Help to build establish MLOps best practices: CI/CD for ML, model versioning, drift detection, automated retraining pipelines etc.

· Architect, scale and implement complex multi-agent architectures, tool calling, stateful reasoning loops, and advanced RAG systems.

· Collaborate with ML, DS, and Engineering teams to architect the DS/ML capabilities into the AI platform.

· Own the entire lifecycle of POCs—from experimental research and algorithmic design for AI Platform.

· Guide junior engineers and peers, establish engineering standards, and conduct rigorous code and design reviews.

Required Technical Stack & Skills

· 5+ years in ML Engineering, Data Science or AI Platform roles

· Expert-level Python with a deep understanding of software design patterns, system architecture, and performance optimization.

· Proven production experience building and deploying multi-agent applications (LangGraph, semantic routing, tool-calling agents).

· Exceptional capability to read cutting-edge AI research papers and engineer production-grade implementations swiftly.

· Experience with MLflow, Kubeflow, or similar experiment tracking / pipeline orchestration

· Experience with REST APIs (FastAPI/Flask) and containerization (Docker)

· Basic knowledge of DS theory, including classification, regression, clustering, ranking methods and evaluation. 

· Hands-on experience working with Vector Databases (e.g. - Milvus, Chroma)

· Understanding of Evaluation Framework for generative applications.

Desired Skills:

· Ability to understand Business challenges and define solutions aligned to the needs.

Skills Required

Machine Learning,Ai Platform,Deep Learning,Python,Langgraph,Langchain,MLflow,Kubeflow,Semantic

Job Title

Tech Lead - AI

Years Of Exp

5 to 7 years