Ml Engineer

5 - 8 years

20 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, build, and deploy LLM-based applications using

    LangChain

    and

    LangGraph

    .
  • Create dynamic, multi-agent workflows using LangGraph for scalable AI systems.
  • Fine-tune, train, and deploy deep learning models using

    TensorFlow

    and/or

    PyTorch

    .
  • Collaborate with product, engineering, and research teams to integrate models into production.
  • Optimize performance of LLM pipelines and neural network architectures.
  • Conduct experiments, analyze results, and iterate on model performance.
  • Contribute to the development of AI tools, infrastructure, and reusable components.

Required Skills & Qualifications:

  • Proven experience with

    LangGraph

    and

    LangChain

    in real-world LLM applications.
  • Strong expertise in

    TensorFlow

    and/or

    PyTorch

    for deep learning model development.
  • Proficiency in Python and familiarity with ML ecosystem libraries (e.g., Hugging Face Transformers, OpenAI API, etc.).
  • Deep understanding of neural networks, NLP, and generative AI models.
  • Experience with fine-tuning LLMs or building retrieval-augmented generation (RAG) systems.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
  • Bachelor's or Masters degree in Computer Science, AI, Data Science, or related field.

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