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Job Type

Full Time

Job Description

  • Programming Proficiency:

    Expert-level programming skills in

    Python

    and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn).
  • Deep Learning Expertise:

    Proven experience in building and deploying deep learning models using

    PyTorch

    .
  • Natural Language Processing (NLP):

    Demonstrable experience with NLP techniques and libraries, with specific expertise in using the

    Stanford NLP

    toolkit.
  • Large Language Models (LLMs):

    Hands-on experience with and a strong understanding of large language models, including practical experience with models like

    Llama 3.2

    .
  • Data Handling:

    Strong proficiency in handling and parsing various data formats, with specific experience in

    JSON extraction

    and manipulation.
  • API Development:

    Solid experience in developing and deploying models via

    RESTful APIs

    using frameworks like Flask, FastAPI, or Django.
  • Graph Database Knowledge:

    Experience with graph databases, particularly

    Neo4j

    , and understanding of graph data modeling and querying (Cypher).

Problem-Solving Skills:

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