Senior Computer Vision Engineer

Lead the development and optimization of state-of-the-art computer vision and Artificial Intelligence / machine learning (AI/ML) algorithms and models from conceptualization to deployment on both edge and cloud platforms. Conduct rigorous performance analysis to systematically improve the functionality of computer vision and AI/ML techniques within our product suite. Manage the entire lifecycle of data handling for machine learning models, ensuring compliance with privacy standards during data collection, processing, and labeling. Ensure the reliability and robustness of computer vision and machine learning applications under diverse operational conditions.

• Work under minimal supervision to design, prototype, evaluate, optimize, implement and deploy CV/DL algorithms as an integral part of AI-powered medical devices and technologies
• Understand and apply core machine learning techniques including deep learning, feature extraction, model training, evaluation and deployment to design and develop and deploy computer vision algorithms (for medical devices).
• Research and prototype state-of-the-art computer vision and AI/ML methods to develop solutions that meet product requirements.
• Implement solutions for computer vision problems such as segmentation, object detection/tracking, pose estimation, key point detection, 2D / 3D medical image segmentation and rendering, depth sensing etc.
• Participate in acquiring, storing, organizing, annotating, versioning and processing large amounts of data needed for training computer vision and machine learning models
• Document and present progress in AI / ML algorithm design, development, and evaluation
• Apply industry best practices for software development and lead code reviews for applying design principles, coding standards and Software Development Lifecycle best practices.
• Understand the intended use and clinical procedures as well as customer needs and design inputs surrounding products / features.
• Write technical documents, independently create or refine engineering documentation, such as the Design History file.

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Responsibilities

• Lead the development and optimization of state-of-the-art computer vision and AI/ML algorithms.
• Conduct rigorous performance analysis to improve functionality within our product suite.
• Manage the lifecycle of data handling for machine learning models, ensuring privacy compliance.
• Design, prototype, evaluate, and deploy CV/DL algorithms for AI-powered medical devices.
• Research and prototype cutting-edge computer vision methods to meet product requirements.
• Implement solutions for computer vision problems such as segmentation and object detection.
• Participate in the acquisition, organization, and processing of data for model training.
• Document and present progress in AI/ML algorithm design and development.
• Apply industry best practices for software development and lead code reviews.
• Write and refine technical documents, including the Design History file.

Requirements

• Bachelor's Degree in Computer Science, Machine Learning, or related field AND 2 years of industry experience OR Master's Degree in relevant field.
• Proficiency with Python or C++ computing languages.
• Experience with libraries such as OpenCV for solving common computer vision problems.
• Experience with Neural Networks and machine learning libraries like PyTorch or TensorFlow.
• Strong understanding of deep learning and feature extraction techniques.
• Experience with deployment tools such as ONNX or TFLite is a plus.
• Familiarity with data analysis tools like Pandas or Scikit is preferred.
• Experience in data collection and processing methods for medical applications.