Generative AI Engineer (3-6 Years)

KPMG India
New Delhi, Delhi, India
  • Strong understanding of Machine Learning, Deep Learning, NLP, Transformers, Embeddings, and Model Evaluation
  • Hands-on experience with Python, PyTorch, TensorFlow, and Scikit-learn
  • Experience developing Generative AI and LLM-based applications, including prompt engineering, tool calling, and LLM integrations
  • Expertise in building RAG (Retrieval-Augmented Generation) solutions using vector databases, semantic search, reranking, and grounding techniques
  • Experience with Agentic AI frameworks such as LangChain and LangGraph, including workflow orchestration and multi-step reasoning workflows
  • Strong Python development skills with FastAPI/Flask and API integrations
  • Experience with Docker, Kubernetes, CI/CD pipelines, MLOps, and LLMOps practices
  • Cloud deployment experience on AWS, Azure, GCP, or on-premises environments
  • Understanding of Responsible AI, AI Security, Data Privacy, Guardrails, Hallucination Mitigation, and Prompt Injection Prevention
  • Experience working on Government/Public Sector projects will be an added advantage

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Questions about this job

How do I apply for the Generative AI Engineer (3-6 Years) job at KPMG India?

Use the apply link on this page: you apply directly with KPMG India on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does KPMG India want for this Generative AI Engineer (3-6 Years) role?

The job description asks for Machine Learning, Deep Learning, NLP, Transformers, Embeddings, Model Evaluation, Python and PyTorch. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at KPMG India?

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Is this Generative AI Engineer (3-6 Years) job remote or onsite?

This is based in New Delhi, Delhi.

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