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Team Lead - AIML

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Onsite

Team Lead - AIML

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Team Lead - AIML

Skills

Google Cloud PlatformMongoDBDeep LearningDockerDjangoFlaskPythonPyTorchTensorFlowPostgreSQLMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹3,000,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

20 August 2026

What they need


Role Overview

We are looking for a Tech Lead AI/ML to architect and deliver production-grade AI/ML solutions while leading a team of engineers. The role involves working with clients and internal teams to transform business requirements into scalable solutions from POC MVP Production.

Key Responsibilities :

  • Design scalable AI/ML and Generative AI architectures for enterprise applications.
  • Lead solutions involving ML, Deep Learning, LLMs, RAG, Agentic AI, NLP, Computer Vision, and Multimodal AI.
  • Build LLM applications using OpenAI, Claude, Gemini, Llama, etc.
  • Design RAG pipelines, vector search, embeddings, prompt engineering, tool calling, and AI agents.
  • Work with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, etc.
  • Lead model development, evaluation, optimization, and deployment.
  • Design AI infrastructure using AWS/Azure/GCP, Docker, Kubernetes, and MLOps.
  • Mentor engineers, conduct code/design reviews, and drive technical decisions.
  • Participate in client discussions, solution design, POCs, technical proposals, and pre-sales.
  • Evaluate emerging AI technologies and drive innovation.

Required Skills:

  • Strong Python, Machine Learning, and Deep Learning experience.
  • Hands-on experience with PyTorch/TensorFlow/Scikit-learn.
  • Strong expertise in Generative AI, LLMs, RAG, and Agentic AI.
  • Experience with FastAPI/Flask/Django, REST APIs, PostgreSQL/MongoDB.
  • Experience with AWS/Azure/GCP, Docker, CI/CD, and MLOps.
  • Strong technical leadership, architecture, client communication, and mentoring skills.
  • Experience handling international clients is preferred.

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