Data Science & AI Engineer
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Role details
Tech stack
Job description
- Develop innovative machine learning and data science solutions for engineering and scientific applications
- Design, develop, and validate models in physical and engineering contexts-from measurement data and measurement principles to a deep understanding of our measurement instruments
- Evaluate algorithms, datasets, and emerging technologies, as well as relevant scientific publications and patents
- Integrate and optimize models for embedded, desktop, and cloud-based applications
- Support the entire model lifecycle-from prototyping and product integration to monitoring and continuous improvement
- Lead small technology projects and collaborate closely with R&D, software development, and product management teams, * A reliable and long-term workplace in our expanding and international high-tech company
- An innovative company culture that promotes technical excellence guaranteeing us the position of a technological leader in the global market
- A value-oriented working environment that fosters friendly, supportive cooperation between colleagues and, at the same time, provides room for involvement, dedication and individual responsibility
- Individual training and onboarding
- Work Outside Office (occasion-related possibility to work outside the office)
- Voluntary flexibility allowance
- Professional and personal development
We offer a fair and market-aligned salary based on the collective agreement for employees in the metal trade - adjusted to the regional conditions of the Styrian labor market. The minimum gross monthly salary for this position is € 4.000 (based on full-time employment). What truly counts for us are your personality, your skills, and the experience you bring. That’s why we take the time to determine your actual gross salary individually and are happy to offer a higher pay in recognition of your qualifications.
greatpeople #greatinstruments #since1922 #AntonPaar
_We do not accept applications via personnel service providers or recruitment agencies and ask all interested parties to submit their documents directly via our career site.
Applications via personnel service providers will not be processed. As a matter of principle, we also do not hire temporary workers, but build on long-term, direct employment relationships.
Requirements
- Master’s degree or higher in Data Science, Machine Learning, Computer Science, Mathematics, Physics, or a related field
- Hands-on experience with machine learning methods and frameworks such as PyTorch, TensorFlow/Keras, Scikit-learn, as well as Git and MLflow
- Strong interest in engineering and physical sciences, with the curiosity to understand complex systems holistically and translate them into robust AI models
- Analytical mindset with the ability to critically evaluate technologies and solution approaches
- Understanding of the complete machine learning lifecycle-from model development to deployment, integration, and maintenance
- Self-motivated, collaborative team player with excellent communication skills and proficiency in both German and English
About the company
Develop Intelligent Solutions for Real-World Engineering Challenges
Are you passionate about developing AI solutions that go beyond impressive model metrics to solve real engineering problems? Are you interested in measurement data, physics, and technical systems, and eager to bring AI into innovative products?
Then join our team. Together, we develop robust AI solutions-from the initial idea to deployment in production.
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