Responsibilities 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
Qualifications 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
What We Offer Competitive salaries and additional benefits based on performance, experience and qualification
Higher compensation depending on expertise and skills
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
About AMS OSRAM – Equal Opportunity ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Contact: DARIA.BEREZOVA@AMS-OSRAM.COM
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