Date | 2024-11-03 |
---|---|
Job Title | Applied Scientist Â?? Machine Vision & Algorithm Development |
Employer | More Information |
Salary | Annually |
Category | It Computing Software |
Location |
Cape Winelands / Stellenbosch |
Job Summary
Be part of a global leader in embedded sports technology and make an impact on a worldwide scale Work in a forward-thinking, innovative environment where your contributions directly shape the future of sports analysis Join a passionate team focused on redefining the way the world interacts with sports Job Description: Design, test, implement, and maintain machine vision algorithms that push the boundaries of sports technology Work on geometric sensor calibration, modeling, and machine learning projects, optimizing the performance and accuracy of advanced systems Collaborate closely with cross-functional teams to integrate machine vision algorithms into products, ensuring solutions are robust, efficient, and effective Leverage the latest techniques in machine learning to drive innovation in real-world sports applications Skills & Experience: Proven expertise in developing and testing algorithms in C/C++ Strong proficiency in Python for machine learning, with experience in building and implementing machine learning models Solid understanding of geometric sensor calibration, mathematical modeling, and the machine vision process Experience in high-tech or embedded environments is an advantage Qualifications: B.Sc., M.Sc., or B.Eng. in a relevant fieldbonus points if youve got a sports science flair Fluent in English, with a willingness to travel occasionally and dive into overtime if needed If youre a data geek who lives for sports and tech, dont miss this chance to make an impact at a world-class company where your passion will truly shine Contact LIZAAN BUNNING on
Applied Scientist Â?? Machine Vision & Algorithm Development position available in Cape Winelands, Stellenbosch. This job position was posted by . The job has been posted on 2024-11-03 in the It Computing Software category
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