Posted:14 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Required Skills & Experience:

  • Proficiency in

    Python

    and libraries relevant to AI/ML and NLP.
  • Deep understanding of

    LLMs

    , including prompt tuning, fine-tuning, and deployment.
  • Experience with

    prompt engineering

    best practices.
  • Strong knowledge of

    vector databases

    and similarity search.
  • Experience with

    RAG architecture

    design and optimization.
  • Familiarity with

    LangChain

    ,

    LangGraph

    ,

    AutoGen

    , or similar agent frameworks.
  • Working knowledge of

    computer vision

    libraries (OpenCV, Pillow, etc.).
  • Experience in

    document processing

    and information extraction from unstructured data.
  • Knowledge of tools like

    Hugging Face

    ,

    Transformers

    ,

    PyTorch

    , or

    TensorFlow

    .

Preferred Qualifications:

  • Experience with

    LLM orchestration

    and tools like

    Flowise

    ,

    LlamaIndex

    , or

    Haystack

    .
  • Exposure to

    cloud platforms

    (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).
  • Experience with

    data privacy

    and

    AI model governance

    in enterprise environments.
  • Background in

    knowledge graphs

    ,

    semantic search

    , or

    metadata-driven search pipelines

    .

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