Asaphus Vision GmbH
Hybrid work from Berlin:
saphus Vision as a part of Valeo group provides driver-monitoring software based on deep-learning technology to the automotive industry. Our cutting-edge software is used by car makers around the world in driver assistance and automated driving systems. Asaphus offers a dynamic work environment where your skills are required. Take advantage of our team of currently 50 colleagues by learning new skills and progressing in your career. We believe in rewarding excellent work. Join the Asaphus Team and enjoy an international, culturally diverse work environment. Our office is located in the heart of Berlin.
Key role in the calibration and deployment process of our AI software for our customers;
Direct cooperation with our customers, including occasional travel to customer sites;
Support of our machine learning developers with the analysis of model performance, evaluation, and data processing;
Central role in developing and operating our machine learning infrastructure;
Automation of our development and data processes with tools like Gitlab CI, Jenkins, and Docker;
Active participation in code reviews and training sessions for improving code quality;
Working as a member of an Agile development team.
Master’s degree in Computer Science or similar field;
2+ years of work experience with Python;
Very good knowledge of Python and Linux;
You write clean, reliable code;
You are organized, responsible and you work well with deadlines;
Independent working mentality, proactive attitude and an entrepreneurial mindset;
Experience with C++ is an advantage;
Excellent communication skills in English;
German residency or an existing working permit for Germany is essential.
Flexible working hours for a good work-life balance;
Partial office and remote work;
Exciting and responsible tasks;
Open corporate culture, flat hierarchies in a young and international team;
Modern office at S Tiergarten (Charlottenburg).
Interested? Then send us your CV including salary expectations and possible starting date to the given e-mail address.