Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Premstätten
- Working Model
- Onsite
Job Summary
In this role, you will develop AI models, extract data from legacy systems, and integrate solutions into production systems while ensuring data quality and driving innovations in the manufacturing environment.
Job Technologies
Your role in the team
- 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.
- Standardisierung von Datenqualität, Schnittstellen, Dokumentation und Governance.
- Data extraction from legacy systems (Oracle/SQL; development & support of extractors).
- Integration / deployment of AI models into production-adjacent systems (edge/server, FDC/MES/R2R/SPC), including monitoring and drift management.
- IT / OT stakeholder management and coordination (manufacturing, engineering, A&D, AI key users, facility, etc.).
- Technical support for analysis, exploration, and implementation of new AI use cases.
- Support from proof-of-concept to series-ready solutions, including scaling successful use cases across multiple sites.
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Our expectations of you
Education
- Completed university degree in Computer Science, Mathematics, Physics, or an equivalent scientific/technical field.
Qualifications
- Solid knowledge of statistics and data-driven root-cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring).
- Excellent communication and coordination skills combined with strong analytical and problem-solving abilities.
- Fluent German and English skills.
Experience
- First professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environment.
- Project experience in AI and data-science environments, as well as experience with manufacturing processes and industrial analytics.
- Experience in computer vision and/or time-series analysis (e.g., FDC, anomaly detection, predictive maintenance, process control).
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Food & Drink
Job Locations
Topics that you deal with on the job
This is 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
AI Data Scientist - Automation & Digitalization
- Location
- Premstätten
- Working Model
- Onsite
- Diversity
- Open for all genders
