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# Data Scientist / AI Engineer

- **Company:** ams-OSRAM AG
- **Location:** Graz-Umgebung, Austria
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Information Engineering, Data Infrastructure, Database Applications, Python (Programming Language), Machine Learning, OpenShift, Tensorflow, Data Streaming, Systems Integration, Pytorch, Containerization, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines, Docker
- **Published:** September 2, 2026
- **Apply:** https://www.adzuna.at/details/5866570161

## About the Role

* 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

## Description

* 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


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