AI Engineer

Join a project focused on developing a robust computer vision solution for symbol detection and counting on construction drawings and floor plans in PDF format. The role involves designing and implementing a Python-based module capable of identifying all instances of provided template symbols (PNGs) across multi-page documents, handling varying resolutions, rotated or skewed drawings, and runtime template inputs. The solution should not rely on large labeled datasets and must prioritize reliability and robustness, leveraging advanced classical or hybrid computer vision techniques. You will work with real-world construction drawings, template symbols, and existing prototype code to deliver a production-ready system. The successful completion of this project may lead to further opportunities for additional symbol types and deeper integration.

Deliverables

• Develop a Python module for symbol detection and counting on construction drawings and floor plans (PDFs)
• Ensure support for multi-page documents, varying resolutions, and rotated/skewed images
• Enable runtime input of template symbols without dependence on large labeled datasets
• Provide clear documentation and a concise technical report outlining the approach and results
• Collaborate on technical challenges and propose reliable, scalable solutions
  
  

Requirements

• Proven experience in computer vision, particularly with symbol or object detection in technical drawings, CAD, or similar domains
• Strong proficiency in Python and open-source computer vision libraries (e.g., OpenCV, scikit-image, PyTorch, TensorFlow)
• Demonstrated ability to design robust algorithms for template matching and detection under challenging conditions (rotation, scale, noise)
• Experience with PDF processing and image extraction workflows
• Ability to deliver well-documented, production-ready code and technical reports
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to present technical approaches clearly
• Availability for follow-up work and further integration if the initial project is successful
  
  

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