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    • AI/GAN Intern – Generative Imaging Engineer - Tirupati - Visual AId

    Visual AId
    Visual AId Tirupati

    1 month ago

    Description

    Role Overview

    Design and build CNN/UNet-based generative models, working with GAN and diffusion architectures at extremely high resolutions.

    You will collaborate with a team to make architecture decisions, implement custom layers and loss functions, and deliver proof-of-concept demos demonstrating new network designs.

    Responsibilities:

    • Architect end-to-end CNN and UNet models for image generation.
    • Design and implement custom convolutional blocks and loss functions.
    • Develop and maintain GAN- and diffusion-based pipelines capable of producing extremely high-resolution outputs.
    • Translate model diagrams into layer-level code; visualize feature maps and activations to validate design choices.
    • Prototype and iterate on new model ideas, producing working demos of each design.
    • Collaborate with research and engineering peers to refine and scale generative pipelines.

    Must-Have Qualifications:

    • Deep learning experience with custom CNN and Unet architectures.
    • Proven ability to build models layer-wise: modify layers, inspect internals, and adjust architectures.
    • Hands-on experience designing and training GANs and diffusion models.
    • Experience writing and integrating custom loss functions for image-generation tasks.

    Please Read Qualifications:

    • Portfolio with at least two projects or repositories demonstrating:
    • Custom CNN/Unet architectures designed or modified from scratch.
    • Layer-level modifications and custom losses implemented.
    • GAN or diffusion-based work that produced high-resolution outputs.

    Application Requirements:

    1. Links to two past projects (GitHub, GitLab, or similar) showing your custom CNN/Unet/GAN/Diffusion work, with brief notes on your contributions.
    2. Will be required to demo and create a small POC as proof of skills.
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