Franzosisch jobs in Germany

Job description

The company

Behind every record, there are years of intensive training and the athletes' desire to produce excellent performances.

Behind the result, there is profound know-how and the high precision of Swiss Timings state-of-the-art technology.

If you have a special interest in technology and want to participate in the future development of high-level sport events, we are looking for you!

Globally active, our company is constantly seeking employees determined to progress and strive in a highly innovative environment.

Job description

AI in general and Computer Vision in particular are major game changers and enablers of state-of-the-art solutions for future timekeeping services. Computer vision is reshaping the boundaries of what is possible in sports performance analysis and judging. In this position, you will be responsible for developing Computer Vision models, applications, and systems.

We are seeking a highly skilled and innovative Computer Vision Engineer to join our team in developing cutting-edge solutions. As a Computer Vision Engineer, you will design, develop, and implement Computer Vision algorithms and models that drive our products and services.

Responsibilities

1. Design and develop Computer Vision algorithms and models for applications such as image and video processing, object detection, and tracking in sports.
2. Design and implement scalable, efficient data pipelines to ingest, process, and store large volumes of visual data.
3. Collaborate with cross-functional teams to integrate Computer Vision components into larger systems and products.
4. Develop and maintain high-quality, well-documented code, ensuring compliance with coding standards.
5. Stay up-to-date with the latest advancements in Computer Vision and Machine Learning, applying this knowledge to improve our products.
6. Work closely with Data Engineers and Software Engineers to ensure seamless integration of data-driven components.

Professional requirements

1. Willing to work at our Leipzig office daily (no remote option).
2. Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Engineering, or a related field.
3. Strong understanding of Computer Vision concepts, including image processing, object detection, and tracking.
4. Proficiency in programming languages such as Python and C++.
5. Experience with Computer Vision and Deep Learning libraries/frameworks like OpenCV, TensorFlow, or PyTorch.
6. Familiarity with Machine Learning and Deep Learning techniques.
7. Excellent problem-solving, attention to detail, and teamwork skills.
8. Strong communication and documentation skills.
9. Availability for about 20% travel abroad.

Languages

1. Fluent in English.
2. French or German is an advantage.

Contact

Benjamin Adler

HR Business Partner

Wiesenring 11
Leipzig, Saxony, Germany

Company address

ST Sportservice GmbH
Wiesenring 11
Leipzig

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