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Job Description
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
Looking to get Placed? Try our Placement Guarantee Plan
- 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
Skills
Computer VisionYoloOpenCVCADMachine LearningDeep LearningVisionMachineIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
13 Dec 25, 05:44 PM IST
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