Computer Vision Engineer

• In charge of implementing machine learning models
• Work on classifying cladding materials from elevation views and floor plan views
• Train and optimize convolutional neural networks (CNNs)
• Preprocess and augment architectural drawings to prepare them for model training and evaluation
• Collaborate with annotation services to ensure accurate labeling of drawing sets if needed
• Explore and incorporate 3D modeling and geometry processing techniques
• Integrate developed models into a user-friendly software solution
• Collaborate with architects, cost estimators, and other stakeholders to understand project requirements and provide technical expertise.
• Test and evaluate the performance of the developed models, analyze results, and fine-tune algorithms as necessary
• Stay up-to-date with the latest advancements in machine learning, computer vision, and cost estimation techniques to continuously improve the solution

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proficiency in machine learning, deep learning, and computer vision is a must-have
• Solid understanding of cost estimation principles and quantity calculation methods
• Experience with image segmentation, convolutional neural networks (CNNs), and object classification
• Proficiency in programming languages such as Python, Java, or C#
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of image processing techniques and libraries like OpenCV
• Experience with data preprocessing, augmentation, and annotation
• Understanding of 3D modeling and geometry processing concepts
• Strong problem-solving skills and ability to adapt to varying levels of detail in architectural drawings
• Excellent communication and collaboration skills to work effectively with cross-functional teams
• Strong attention to detail and a passion for delivering high-quality results
• Basic understanding of cost estimation software or construction cost databases is preferred
• Knowledge of software development methodologies and version control systems would be a plus
• Basic familiarity with web development frameworks such as Flask or Django for software integration and deployment