Job description:
* Standardization of data quality, interfaces, documentation, and governance
* Data extraction from legacy systems (Oracle/SQL; development & support of extractors)
* Integration / deployment of AI models into production‑adjacent systems (edge/server, FDC/MES/R2R/SPC), including monitoring and drift management
* IT / OT stakeholder management and coordination (manufacturing, engineering, A&D, AI key users, facility, etc.)
* Technical support for analysis, exploration, and implementation of new AI use cases
* Support from proof‑of‑concept to series-ready solutions, including scaling successful use cases across multiple sites
Profile description:
* Completed university degree in Computer Science, Mathematics, Physics, or an equivalent scientific/technical field
* First professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environment
* Project experience in AI and data‑science environments, as well as experience with manufacturing processes and industrial analytics
* Experience in computer vision and/or time‑series analysis (e.g., FDC, anomaly detection, predictive maintenance, process control)
* Solid knowledge of statistics and data‑driven root‑cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring)
* Excellent communication and coordination skills combined with strong analytical and problem‑solving abilities
* Fluent German and English skills
We offer competitive salaries and additional benefits based on your performance, experience and qualification.
The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G ).
We offer a higher compensation depending on your expertise and skills.
We offer:
* Attractive salary
* Flexible working hours
* Training opportunities & structured onboarding and development planning
* Opportunity for coaching, mentoring and networking
* Corporate events for employees
* Possibility of meals directly at the place of work
DARIA.-OSRAM.COM