AI DEVELOPER - VTON Diffusion Model development & Deployment

Posted 3 weeks ago

Worldwide

Summary

About Us FITCHECK Global is building advanced AI-powered solutions in the image generation and fashion-tech space. We’re looking for a highly skilled AI Developer to join us to help optimize, deploy, and scale state-of-the-art image generation models. Role Overview You will work hands-on with diffusion-based image generation models, focusing on performance optimization, inference speed, and production-ready deployment. This role is ideal for someone who is comfortable working close to the metal and optimizing models for real-world use. Required Skills & Experience • Proven experience working with diffusion-based image generation models, including Virtual Try-On (VTON) pipelines • MUST HAVE Hands-on experience deploying and running models on RUNPOD Serverless and must have existing experience on deploying complex models with the docker and containerization method • Strong experience with TensorRT, including model quantization and end-to-end inference optimization • Experience working with FLUX models and related architectures • Solid background in optimizing image preprocessing pipelines for performance and scalability • Experience developing or integrating masking tools for image generation and manipulation workflows • Strong proficiency in Python and deep learning frameworks (PyTorch preferred) • Ability to optimize models for production environments with a focus on speed, memory, and reliability

  • More than 30 hrs/week
    Hourly
  • 6+ months
    Duration
  • Expert
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
vton
runpod
Amazon SageMaker
Activity on this job
  • Proposals:20 to 50
  • Last viewed by client:3 weeks ago
  • Hires:
    2
  • Interviewing:
    17
  • Invites sent:
    26
  • Unanswered invites:
    5
About the client
Member since Jun 29, 2025
  • United States
    New York10:50 AM
  • $24K total spent
    108 hires, 11 active
  • 1,255 hours

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