Computer Vision & Machine Learning Engineer

As a highly skilled Staff Engineer specializing in Computer Vision and Machine Learning, you will be an integral part of our R&D team, focusing on developing cutting-edge technologies for next-generation healthcare products. Your role will involve designing, developing, and optimizing computer vision and machine learning algorithms for real-world applications. You will work on image processing, object detection, segmentation, and tracking problems, using C++ and Python to create efficient and scalable solutions. Collaboration with cross-functional teams and mentoring junior engineers to drive technical excellence will be key aspects of your responsibilities. Key Responsibilities: - Design, develop, and optimize computer vision and machine learning algorithms for real-world applications. - Work on image processing, object detection, segmentation, and tracking problems. - Develop efficient, scalable solutions using C++ and Python. - Collaborate with cross-functional teams including product, hardware, and clinical experts. - Optimize algorithms for performance, accuracy, and real-time deployment. - Contribute to system design, architecture, and code quality. - Mentor junior engineers and drive technical excellence. Required Skills & Qualifications: - 811 years of experience in Computer Vision / Machine Learning. - Strong programming skills in C++ and Python (C# is a plus). - Hands-on experience with OpenCV and image processing techniques. - Solid understanding of Machine Learning / Deep Learning concepts. - Experience with 3D geometry, linear algebra, and mathematical modeling. - Familiarity with frameworks like PyTorch / TensorFlow. - Strong problem-solving and debugging skills. Good to Have: - Experience in medical imaging or regulated domains. - Knowledge of embedded systems / real-time systems. - Exposure to cloud platforms (AWS/Azure). - Understanding of software development lifecycle in regulated environments. Education: - Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, or related field (full-time/regular). In addition to the technical aspects of the role, you will have the opportunity to work on impactful healthcare innovations, collaborate with global teams and industry experts, and contribute to solving complex real-world problems. Our company culture places a strong focus on innovation, quality, and career growth, providing you with a dynamic and rewarding work environment. As a highly skilled Staff Engineer specializing in Computer Vision and Machine Learning, you will be an integral part of our R&D team, focusing on developing cutting-edge technologies for next-generation healthcare products. Your role will involve designing, developing, and optimizing computer vision and machine learning algorithms for real-world applications. You will work on image processing, object detection, segmentation, and tracking problems, using C++ and Python to create efficient and scalable solutions. Collaboration with cross-functional teams and mentoring junior engineers to drive technical excellence will be key aspects of your responsibilities. Key Responsibilities: - Design, develop, and optimize computer vision and machine learning algorithms for real-world applications. - Work on image processing, object detection, segmentation, and tracking problems. - Develop efficient, scalable solutions using C++ and Python. - Collaborate with cross-functional teams including product, hardware, and clinical experts. - Optimize algorithms for performance, accuracy, and real-time deployment. - Contribute to system design, architecture, and code quality. - Mentor junior engineers and drive technical excellence. Required Skills & Qualifications: - 811 years of experience in Computer Vision / Machine Learning. - Strong programming skills in C++ and Python (C# is a plus). - Hands-on experience with OpenCV and image processing techniques. - Solid understanding of Machine Learning / Deep Learning concepts. - Experience with 3D geometry, linear algebra, and mathematical modeling. - Familiarity with frameworks like PyTorch / TensorFlow. - Strong problem-solving and debugging skills. Good to Have: - Experience in medical imaging or regulated domains. - Knowledge of embedded systems / real-time systems. - Exposure to cloud platforms (AWS/Azure). - Understanding of software development lifecycle in regulated environments. Education: - Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, or related field (full-time/regular). In addition to the technical aspects of the role, you will have the opportunity to work on impactful healthcare innovations, collaborate with global teams and industry experts, and contribute to solving complex real-world problems. Our company culture places a strong focus on innovation, quality, and career growth, providing you with a dynamic and rewarding work environment.