The ams OSRAM Group is a global leader in innovative light and sensor solutions. As a specialist in Digital Photonics, we combine technological excellence with state-of-the-art global manufacturing capabilities to offer our customers the broadest portfolio of digital emitter and sensor technologies.

Globally, our teams develop groundbreaking solutions aligned with societal megatrends like intelligent mobility, artificial intelligence, augmented reality, smart health, and robotics.

At ams OSRAM, employees are part of a highly innovative, international technology environment. Diverse teams, a high degree of ownership, and exciting challenges provide the opportunity to grow, develop, and make a real difference. Because behind our innovations are people who carry something special inside and who bring their unique strengths to work every day: Show the world what you are made of.

Data Scientist /​ AI Engineer (d/​m/​f)
Premstätten, Styria, Austria – ams-OSRAM AG

• Developing and implementing AI-driven and data-driven solutions for semiconductor manufacturing
• Analyzing and exploring new AI use cases together with Manufacturing, Engineering and IT
• Supporting proof-of-concepts through to productive solutions
• Integrating AI models, data pipelines and AI services into production-related systems
• Building and enhancing modern data and AI platforms based on event-streaming and container technologies
• Implementing solutions for anomaly detection, predictive maintenance and process optimization
• Contributing to the deployment, orchestration, operation and monitoring of productive AI appli
• Exploring new applications for AI agents and agent-based workflows
• Improving data quality, interfaces, documentation and governance together with internal partners
• Training and providing technical guidance to engineers and specialist departments

• University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline
• Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment
• Analytical thinking combined with an independent, structured and team-oriented working style
• Ability to communicate technical concepts clearly and bring different specialist groups together
• Experience in developing and operating data-driven applications or AI solutions in productive environments
• Experience with event streaming, data pipelines and modern data platforms, such as Apache Kafka
• Experience in developing, deploying and orchestrating containerized applications, such as with Docker, Kubernetes or OpenShift
• Understanding of MLOps, CI/CD and the reliable operation of productive AI applications
• Knowledge of AI agents, agent-based workflows and their integration into business and production processes
• Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow
• Very good English skills; german skills are an advantage
• Willingness to travel occasionally

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.