Predulive Edutech Foundation logo

AI Developer Intern (LLM & Multimodal AI)

0 years

0 Lacs

lucknow uttar pradesh india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

ai developer learning collaboration vision support development data preprocessing evaluation inference testing documentation code versioning git tensorflow model deployment onnx ml github research portfolio

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: AI Developer Intern (LLM & Multimodal AI)

Organization: Predulive Edutech Foundation

Location: Remote / Hybrid


🚀 About the Internship:

hands-on AI Developer Internship


🔧 Key Responsibilities:

  • Assist in designing and implementing

    multimodal LLM pipelines

    involving text, vision, and structured/sensor data.
  • Support development of

    custom embeddings

    for domain-specific knowledge and technical datasets.
  • Build, train, and fine-tune models using

    PyTorch

    under senior mentorship.
  • Experiment with and integrate

    open-source models

    (Hugging Face, LLaMA, Stable Diffusion variants).
  • Participate in

    data preprocessing, evaluation, and benchmarking

    of AI models.
  • Help optimize models for

    inference performance and resource efficiency

    .
  • Contribute to

    testing pipelines

    for multimodal outputs and generation quality.
  • Maintain clear

    documentation, code versioning, and experiment logs

    .


🎓 Eligibility & Preferred Skills

  • Currently pursuing or recently completed a degree in:
  • Computer Science
  • Artificial Intelligence
  • Data Science
  • Electronics / Robotics
  • or related fields
  • Strong foundation in

    Python

    and basic understanding of

    deep learning concepts

    .
  • Familiarity with

    PyTorch

    and transformer-based models (basic level acceptable).
  • Interest in

    LLMs, computer vision, NLP, or robotics

    .
  • Basic knowledge of Git, APIs or cloud platforms is a plus.
  • Curiosity, strong learning mindset, and problem-solving attitude.


⭐ Good to Have (Not Mandatory)

  • Exposure to TensorFlow or JAX
  • Understanding of model deployment (ONNX, TorchServe, cloud basics)
  • Awareness of ethical AI and responsible ML practices
  • GitHub projects, blogs, or open-source contributions


🌟 What You’ll Gain

  • Real-world experience with

    LLMs & multimodal AI systems

  • Mentorship from industry professionals
  • Certificate & recommendation letter (performance-based)
  • Opportunity for

    PPO / extended research collaboration


📩 How to Apply

resume + GitHub / portfolio / project links

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