AI Lead Engineer

5 - 10 years

25 - 35 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

  • ML Frameworks:

    TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM
  • GenAI & Agentic Tools:

    Lang Chain, Llama Index, Haystack, Crew AI, Autogen
  • LLMs & APIs:

    Hugging Face, OpenAI, Azure OpenAI, Cohere, Anthropic Claude, Gemini
  • Embeddings & Vectors:

    Sentence Transformers, FAISS, Pinecone, Azure Cosmos DB (Vector Search)
  • Infrastructure Tools:

    Docker, Kubernetes, MLflow, Fast API/Flask, Git
  • Azure Machine Learning, Azure Functions, AKS, Blob Storage, Cosmos DB
  • CI/CD for ML
  • Experience integrating LLMs into enterprise workflows via APIs or agent frameworks.
  • Prior experience in data engineering is an add-on.

Roles and Responsibilities:

  • Work with the team to build and create an AI practice.
  • Should have experience in managing shared resources.
  • Participate in requirements analysis.
  • Work with internal teams to obtain an in-depth understanding of the product or POC and the documentation requirements.
  • Produce high-quality documentation that meets applicable standards and is appropriate for its intended audience.
  • Write easy-to-understand user interface text, online help, and developer guides. Create tutorials to help end-users use a variety of applications.
  • Analyze existing and potential content, focusing on reuse and single-sourcing opportunities.
  • Write clean, scalable code using .NET programming languages and create and maintain the information architecture.
  • Revise, update, refactor, and debug code. Improve existing software.

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