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# Data Scientist / AI Engineer

- **Company:** ams-OSRAM AG
- **Location:** Premstätten, 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, Agentic-AI, Containerization, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines, Docker
- **Published:** October 18, 2026
- **Apply:** https://careerjet.at/jobad/at2386c17493642b843921e0c18ad5b4ed

## 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