Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Premstätten
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI and data-driven solutions for semiconductor manufacturing, integrate models into production systems, and analyze new use cases for process optimization.
Job Technologies
Your role in the team
- Development and implementation of AI- and data-driven solutions for semiconductor manufacturing.
- Analysis and exploration of new AI use cases together with manufacturing, engineering, and IT.
- Support from proof-of-concept to production-ready series solution.
- Integration of AI models, data pipelines, and AI services into production-ready systems.
- Development and further advancement of modern data and AI platforms based on event streaming and container technologies.
- Implementation of solutions for anomaly detection, predictive maintenance, and process optimization.
- Participation in deployment, orchestration, operation, and monitoring of productive AI applications.
- Investigation of new application possibilities for AI agents and agent-based workflows.
- Improvement of data quality, interfaces, documentation, and governance in collaboration with internal partners.
- Training and technical consulting for engineers and specialist departments.
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Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Physics, or a comparable natural science or technical field.
Qualifications
- Analytical thinking skills as well as an independent, structured, and team-oriented way of working.
- Ability to communicate technical concepts clearly and to bridge different professional areas.
- 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.
- Very good English skills; German language skills are an advantage.
- Willingness to occasionally travel for work.
Experience
- Professional experience in Data Science, AI Engineering, Data Engineering, or a related technical field, ideally in an industrial environment.
- Experience in the development and operational management of data-driven applications or AI solutions.
- Experience with Event Streaming, Data Pipelines, and modern Data Platforms, such as Apache Kafka.
- Experience with development, deployment, and orchestration of containerized applications, for example with Docker, Kubernetes, or OpenShift.
- Practical experience with relevant data science, machine learning, or AI frameworks and libraries, such as Python, PyTorch, or TensorFlow.
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What we offer
- We offer a competitive salary and additional benefits that are based on your performance, experience, and qualifications.
- The employment is based on the collective agreement for employees in the electrical and electronics industry, pay scale group G.
- We offer a higher compensation depending on your knowledge and skills.
- ams OSRAM is an employer that promotes equal employment opportunities.
- Diversity, equity, and inclusion are deeply embedded in our corporate culture, and we firmly believe that they make us more successful as a company.
- All qualified applications will be considered for employment regardless of ethnicity, nationality, or social background, gender, gender identity, sexual orientation, skin color, religion, age, physical and mental abilities.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ams AG
We take sensing to the next level by providing a seamless interface between humans and technology. We enable our customers to create highly differentiated products that are smarter, safer, easier to use and more eco-friendly.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization, Trade, Internet, IT, Telecommunication
Data Scientist / AI Engineer
- Location
- Premstätten
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
