Global Clearance Solutions

Overview As a Machine Learning Engineer, you will create intelligent detection capabilities at the intersection of ML, embedded software, and sensor tech. You collaborate with an international team to turn complex sensor data into reliable real-time detection for demanding, real-world applications. Your work supports safe living spaces by advancing multi-sensor detection systems. This role offers impact across field tests, system validation, and secure software development in a mission-driven company.

Leistungen / Benefits flat hierarchies pleasant working atmosphere flexible working arrangements attractive compensation Hansefit JobRad (bike leasing) can benefit from Corporate Benefits Verantwortungsbereiche Develop and optimize AI-based object detection and sensor fusion algorithms Analyze complex sensor data and improve ML models Integrate and optimize software for embedded real-time systems Plan, coordinate, and support field tests and system validation activities Contribute to secure and reliable software solutions Improve AI training data generation and model evaluation Collaborate with software, systems, and test engineering teams Explore and apply state-of-the-art ML and data analysis methods Zentrale Anforderungen Degree in Computer Science, Electrical Engineering, Data Science, or a related field Experience in machine learning, data analysis, or AI-based software development

Strong programming skills in Python and C/C++ Experience with embedded software and Linux-based operating systems Knowledge of sensor technologies or multi-sensor systems is an advantage Familiarity with development tools (GitLab, Jira, Confluence) Structured, proactive, and solution-oriented working style Willingness to travel for field testing and international collaboration Fluent written and spoken German and English Structured Proactive Solution-oriented Python C/C++ Embedded software