The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. \"By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Building and operating scalable data pipelines for sensor, log, process, time‐series, and FDC data (edge/server, integration with FDC/MES/R2R/SPC)
Ensuring data quality, standards, and data governance (interfaces, documentation, semantics/metadata, ownership) in close collaboration (\"handshake\") with IT/OT
Technical interface and coordination between manufacturing, engineering, AI key users, and IT/OT; Support during use‐case intake: analysis of new use cases, development/maintenance of a use‐case funnel, prioritization and preparation for management decisions
Guidance from PoCs to full production solutions, including scaling across lines/sites
Operationalization in production: monitoring, drift/change management, continuous improvement
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
FDC, anomaly detection, predictive maintenance, process control)
correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring)
Fluent German and English skills
Training opportunities & structured onboarding and development planning
Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company.