AI Data & Solutions Engineer - Automation & Digitalization (d/m/f)

Sense the power of light

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. "Sense the power of light" - our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.
Find out more about us on https://ams-osram.com

The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. 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. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.

• 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; active stakeholder management
• 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

• Completed university degree in Computer Science, Mathematics, Physics, or an equivalent scientific/technical field
• 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
• Self‑motivated and team‑oriented personality who enjoys working in a global environment
• 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 (https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/).
We offer a higher compensation depending on your 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