Industrial AI Engineer: Data Science for Smart Manufacturing

ams-OSRAM AG; Unterpremstätten; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

ams-OSRAM AG in Austria seeks a data science/AI engineer to develop AI-driven solutions for semiconductor manufacturing. You will analyze new AI use cases with Manufacturing, Engineering and IT, and support PoCs through to productive solutions.

You will integrate AI models and data pipelines into production systems, build data platforms based on event streaming and container technologies, and implement anomaly detection, predictive maintenance and process optimization.

Qualifikationen

• University degree in DS/CS/Physics or comparable
• Experience in Data Science/AI/Data Engineering in industrial environments
• Very good English; German is a plus

Aufgaben

• Developing and implementing AI-driven and data-driven solutions for semiconductor manufacturing
• Analyzing and exploring new AI use cases 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 applications
• Exploring new applications for AI agents and agent-based workflows
• Improving data quality, interfaces, documentation and governance with internal partners
• Training and providing technical guidance to engineers and specialist departments

Kenntnisse

Data Science

AI Engineering

Data Engineering

Python

PyTorch

TensorFlow

Apache Kafka

Docker

Kubernetes/OpenShift

MLOps

Ausbildung

University degree in Data Science/CS/Physics

Tools

Apache Kafka

Docker

Kubernetes

OpenShift

Jobbeschreibung

ams-OSRAM AG in Austria seeks a data science/AI engineer to develop AI-driven solutions for semiconductor manufacturing. You will analyze new AI use cases with Manufacturing, Engineering and IT, and support PoCs through to productive solutions.

You will integrate AI models and data pipelines into production systems, build data platforms based on event streaming and container technologies, and implement anomaly detection, predictive maintenance and process optimization.