Freelance Deep Learning Engineer - Stable Diffusion - Converting Open Source DL Library To Web Api -- 2
Budget: $250 – $750 USD
We are looking for an experienced deep learning freelancer to help us transform a research-level computer vision model into a production-ready API.
The core focus is on image generation, garment manipulation, and pose-aware rendering using deep learning. You'll work on wrapping an existing PyTorch-based model into a modular, scalable image processing API, fine-tuning it where necessary for performance and quality.
Responsibilities
Analyze and understand an open-source PyTorch image processing pipeline (multi-stage, image-to-image architecture).
Modularize and refactor the codebase for better maintainability and integration.
Implement a RESTful API around the model (e.g., using FastAPI, Flask, or TorchServe).
Set up environment configuration (CUDA, cuDNN, Conda, etc.) for local and remote deployment.
Optimize model inference for speed and reliability on GPU.
The core focus is on image generation, garment manipulation, and pose-aware rendering using deep learning. You'll work on wrapping an existing PyTorch-based model into a modular, scalable image processing API, fine-tuning it where necessary for performance and quality.
Responsibilities
Analyze and understand an open-source PyTorch image processing pipeline (multi-stage, image-to-image architecture).
Modularize and refactor the codebase for better maintainability and integration.
Implement a RESTful API around the model (e.g., using FastAPI, Flask, or TorchServe).
Set up environment configuration (CUDA, cuDNN, Conda, etc.) for local and remote deployment.
Optimize model inference for speed and reliability on GPU.