Computer Vision Engineer
vor 1 Monat
About the Company
Swiss Timings, a part of the Swatch Group, is a leading provider of high-precision timing solutions for sports events. Our cutting-edge technology and innovative approach have made us a trusted partner for top athletes and sports organizations worldwide.
Job Description
We are seeking a highly skilled Computer Vision Engineer to join our team in developing state-of-the-art Computer Vision solutions. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing Computer Vision algorithms and models that drive the development of our products and services.
Responsibilities
- Design and develop Computer Vision algorithms and models for various applications, including image and video processing, object detection, and tracking in the field of sports.
- Design and implement scalable, efficient, and reliable data pipelines to ingest, process, and store large volumes of visual data.
- Collaborate with cross-functional teams to integrate Computer Vision components into larger systems and products.
- Develop and maintain high-quality, well-documented code and ensure compliance with coding standards.
- Stay up-to-date with the latest advancements in Computer Vision and Machine Learning, and apply this knowledge to improve our products and services.
- Work closely with Data Engineers and Software Engineers to ensure seamless integration of data-driven components.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Engineering, or a related field.
- Strong understanding of Computer Vision concepts, including image processing, object detection, and tracking.
- Proficiency in programming languages such as Python and C++.
- Experience with Computer Vision and Deep Learning libraries and frameworks, such as OpenCV, TensorFlow, or PyTorch.
- Familiarity with Machine Learning and Deep Learning concepts and techniques.
- Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.
- Strong communication and documentation skills.
- Availability for travels abroad (about 20%).
Language
- Fluent in English.
- French or German would be an advantage.
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