Are you looking for a key role in medical technology at the Mannheim site, where you can actively shape the production of tomorrow? Our client, a global leader in the healthcare industry, offers you an innovative environment for the development of future-oriented AI solutions. Become part of a team of experts and bring your passion for data and technology to a meaningful work environment.
Here's what we offer
1. Attractive salary and long-term job security through group affiliation
2. Up to 30 days vacation per year
3. Contribution to company pension scheme after end of probationary period
4. Extensive social benefits, including Christmas and vacation bonuses
Your tasks
5. Algorithm development: Design and implementation of state-of-the-art AI/ML models (e.g. computer vision, predictive maintenance) to optimize complex manufacturing processes.
6. Data Science & Analytics: Analysis of large amounts of data from pilot plants using statistical methods and big data time series analyses.
7. Test planning: Independent design, implementation and statistical evaluation (DoE) of measurement setups in development and production machines.
8. Project management: Technical management of sub-projects, including resource planning, schedule control and coordination of external partners.
9. MLOps & Maintenance: Continuous further development and maintenance of productive ML models and optimization of data flows between hardware and software.
Your profile
10. Completed studies (Master's/Diploma) in process engineering, data science, physics, computer science or a comparable field.
11. Sound professional experience in process/product development, ideally in the regulated environment of medical technology.
12. Confident handling of Python and hardware-related programming (C++) as well as experience with ML libraries such as TensorFlow or Keras.
13. In-depth knowledge of automated data acquisition, time series analysis and the implementation of MLOps in an industrial context.
14. Structured way of working, strong problem-solving skills and the ability to precisely document complex issues.