Computer Vision Engineer Needed

Project Description We are building an early-stage AI-powered vehicle damage assessment startup. We are looking for an experienced Computer Vision Engineer to develop the core AI engine for our prototype. We only need: * AI model training * Cloud deployment * API development Project Scope 1. Prepare and clean vehicle damage datasets. 2. Fine-tune a YOLOv8 / YOLOv11 model (or equivalent) for vehicle damage detection. 3. Detect damaged vehicle parts and classify damage categories. 4. Generate structured JSON output. 5. Deploy the trained model to the cloud. 6. Build a FastAPI endpoint for inference. 7. Provide documentation for API integration. Deliverables * Trained model weights * Source code * Dataset preparation pipeline * FastAPI endpoint * Cloud deployment * API documentation * Basic testing/demo interface (optional) Required Skills * Python * PyTorch * YOLOv8 / YOLOv11 * Computer Vision * Image Segmentation * FastAPI * Cloud Deployment Nice to Have * Automotive damage assessment experience * Custom dataset training experience How to Apply Please start your proposal with the word: “Prototype” and include: 1. Similar computer vision projects. 2. Experience training custom YOLO models. 3. GitHub profile or portfolio. 4. Estimated timeline. 5. Your estimated budget range for this scope 6. Brief explanation of how you would approach the dataset and model training process. We are looking for a long-term technical partner for future phases.