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# AI Engineer

- **Company:** ams-OSRAM AG
- **Location:** Unterpremstätten, Austria
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Azure Machine Learning, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** June 19, 2026
- **Apply:** https://at.indeed.com/viewjob?jk=c1bdfac1ccf139ed

## About the Role

Do you have a Master's degree?, * Bachelor's or Master's degree in IT, computer science, business informatics, or a comparable scientific/technical degree

 * Understanding of AI system architectures, including data pipelines, model lifecycle, and integration patterns
 * Familiarity with cloud-based AI architecture (e.g., Azure AI services) is an advantage
 * Knowledge of developing scalable, production-ready solutions for data-driven or AI-based applications
 * Experience with traditional AI, ideally in manufacturing or industrial environments
 * Good communication and coordination skills, with a self-motivated and team-oriented mindset in a global environment
 * Proficiency in German and English

## Description

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.

 * Translate business needs into clear AI requirements aligned with solution architecture
 * Act as the link between business units and corporate AI/IT teams
 * Drive AI use cases based on value and feasibility
 * Support scalable, cloud-based AI solution design
 * Ensure compliance with data and architecture standards


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