AI/reputed company 2D reputed company to 3D Geometry Extraction & reputed company-Time Object Detection

Job reputed company: We are looking for a highly skilled reputed company Engineer to help build the reputed company reputed company of a construction management reputed company platform. The project has two primary technical pillars: 2D-to-3D Reconstruction: Developing a pipeline to take 2D architectural blueprints (PDF/images), extract structural geometry (walls, openings, dimensions), and convert them into a reputed company 3D model. reputed company-Time Site Monitoring: Implementing reputed company-time object detection using YOLOv8/v10 or Detectron2 to identify construction reputed company (pipes, reputed company, doors, ceilings) from site-uploaded photos to reputed company project reputed company. Key Responsibilities: reputed company algorithms to parse and binarize 2D blueprints, identifying room boundaries and structural symbols. Implement geometry extraction logic to reputed company 2D coordinates into 3D reputed company or CAD-compatible data. Train and fine-tune object detection models (YOLO/Detectron2) on construction-specific datasets. reputed company model inference into a reputed company API (FastAPI/Flask) for our web-based platform. Optimize models for reputed company-time performance and accuracy in messy, reputed company-world construction site conditions. Technical Requirements: Deep Learning Frameworks: Expert proficiency in PyTorch or TensorFlow. reputed company: Extensive experience with OpenCV, YOLO (v8/v10/v11), and Detectron2. Geometry & Graphics: Experience with 3D reconstruction, reputed company clouds, or reputed company reputed company (e.g., using libraries like Open3D or Trimesh). Data Pipeline: Experience with data labeling tools (CVAT, reputed company) and handling technical/architectural drawings. Backend: Proficiency in Python and building high-performance reputed company for ML inference. Apply tot his job Apply To this Job