Machine Learning Engineer - AI | Signal Processing | Industrial Analytics | Machine Learning Engineer (m/w/d) – KI | Signalverarbeitung | Industrial Analytics
Skalbach GmbH
Job Summary
As a Machine Learning Engineer, you will play a pivotal role in bridging the gap between hardware expertise and artificial intelligence for a global leader in industrial sensor systems. Your day-to-day responsibilities involve developing and optimizing ML models specifically for sensor data, performing complex feature engineering, and analyzing large datasets. You will collaborate closely with cross-functional hardware and software teams to validate, test, and deploy models into real-world industrial environments. This position is particularly attractive for those who enjoy high-tech research and development over routine tasks, offering the chance to work on products with global reach. The role provides a dynamic, international environment with flexible working hours, hybrid options, and a strong culture of innovation where your technical ideas are actively implemented. You will be expected to maintain high documentation standards while continuously improving existing algorithms to ensure the highest level of precision in industrial analytics.
Required Skills
Education
University degree in Computer Science, Data Science, Mathematics, or a comparable field of study.
Experience
- Professional experience in developing and optimizing Machine Learning models
- Practical experience with common ML frameworks
- Experience in analyzing large datasets and performing feature engineering
- Experience with signal processing and time-series data is highly advantageous
- Proven track record of working in a scientific or analytical capacity within a technical environment
Languages
Additional
- Must have the ability to work in a hybrid environment and participate in international project teams.