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    Generative AI Developer Intern - Delhi, India - Tecnod8

    Tecnod8
    Tecnod8 Delhi, India

    1 month ago

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    Default job background
    Technology / Internet
    Description
    We are looking for an Generative AI Developer Intern

    Compensation:
    Starting stipend for this position is Rs 5,000 will grow as the intern gets trained more and more.
    Our aim is to onboard the intern on our founding team eventually.

    Location:
    Remote, for 6 months.

    Additional Perks-i.

    PPO and a chance to work in the founding team of Tecnod8
    ii.

    Flexible work hours
    iii.

    World class exposure


    Responsibilities:
    Contribute to the development and refinement of the

    Large Language Model (LLM) .
    Lead the efforts in

    data collection and preprocessing

    for our Large Language Model (LLM) development.
    Identify, gather, and preprocess diverse datasets

    to train and refine our LLM.
    Utilising

    cloud services (like AWS, Azure, Google Cloud)

    for data processing, storage and security.
    Collaborate with the AI team to implement and test new features and algorithms.
    Assist in the evaluation and improvement of model performance and accuracy.
    Participate in research and stay updated on the latest trends and advancements in AI and machine learning.

    Requirements:
    Proficiency in

    Python

    and experience with machine learning frameworks like

    TensorFlow

    or

    PyTorch .
    Ability to work with large datasets and experience in

    data preprocessing and collection

    techniques.
    Familiarity with

    language models

    and

    generative AI

    is highly desirable.
    Self-motivated, eager to learn, and capable of working in a fast-paced environment.
    Excellent

    problem-solving skills

    and ability to work collaboratively in a team.
    Strong communication skills to effectively articulate ideas and solutions.

    Benefits:
    Hands-on experience with cutting-edge technologies.
    Opportunity to work in a dynamic startup environment.
    Potential for a full-time role based on performance.

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