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About the Role

Data Scientist


Key Responsibilities

  • Design, develop, and deploy

    machine learning and AI models

    using Python.
  • Implement and fine-tune

    Large Language Models (LLMs)

    for real-world applications.
  • Work on

    RAG pipelines

    to enhance the contextual accuracy of AI outputs.
  • Collaborate with data engineering teams to manage and preprocess datasets.
  • Research and apply the latest developments in

    Generative AI and NLP

    .
  • Optimize model performance and ensure scalability for production environments.
  • Create technical documentation and reports for internal teams and clients.


Required Skills & Experience

  • 1+ year

    of hands-on experience in Data Science, AI, or related domains.
  • Strong proficiency in

    Python

    ,

    Pandas

    ,

    NumPy

    , and

    Scikit-learn

    .
  • Practical exposure to

    LLMs

    (e.g., OpenAI, Anthropic, Mistral, Llama).
  • Experience with

    RAG architectures

    ,

    LangChain

    , or

    LlamaIndex

    .
  • Familiarity with

    GenAI frameworks

    and prompt engineering.
  • Knowledge of

    data visualization tools

    (Matplotlib, Plotly, or Power BI).
  • Understanding of cloud platforms (AWS / Azure / GCP) is a plus.


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