Computer Vision Specialist
5 days ago
Primary Responsibilities:
- Lead the development of computer vision models for CAD element detection
- Design and implement object detection algorithms for architectural elements (walls, doors, windows, MEP components)
- Develop pattern recognition systems for electrical, plumbing, and HVAC symbols
- Create training pipelines for custom CAD datasets
- Optimize model performance for production deployment
Required Technical Skills:
- Deep Learning Frameworks: PyTorch, TensorFlow, or similar
- Computer Vision: YOLO, R-CNN, object detection, semantic segmentation
- Image Processing: OpenCV, PIL, scikit-image
- Python Ecosystem: NumPy, pandas, matplotlib, scikit-learn
- Model Deployment: Docker, GCP ML platforms, API integration
- Version Control: Git, MLOps practices
Preferred Experience:
- CAD file processing or technical drawing analysis
- Symbol recognition in engineering drawings
- Multi-class object detection in complex scenes
- Experience with architectural or engineering applications
- Chinese text/annotation processing
Key Deliverables:
- Trained computer vision models for 9 element types
- Model evaluation reports with accuracy metrics
- Production-ready inference pipeline
- Documentation and knowledge transfer materials
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