Job
- Level
- Experienced
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 3.228 to 4.355€ gross/month
Job Summary
In this role, you will develop AI applications, integrate data solutions, work with cloud technologies, and optimize existing AI models in production environments.
Job Technologies
Your role in the team
- For our location in Graz, we are looking for two dedicated colleagues in the role of AI Engineer (m/f/x). In this position, you will develop and integrate innovative applications, connecting AI technologies with software development, cloud and data platforms, as well as existing business processes.
- In close collaboration with business units, IT, data teams, and external partners, you translate requirements into practical solutions and continuously develop them further.
- The contents of the roles to be filled are divided into 2 main focus areas:
- Data & AI Solutions: AI development, data integration and preparation, as well as modern data platforms.
- AI Solutions & Operations: Development, integration, and reliable productive operation of AI solutions.
- Development and implementation of AI solutions from requirements analysis and conception to production deployment.
- Integration of AI models, services, and functions into existing applications, platforms, and business processes.
- Design scalable, maintainable, and secure solution architectures for AI applications on modern cloud and data platforms.
- Conducting prototypes and proof of concepts as well as structured transfer of successful approaches into production solutions.
- Collaboration with departments to translate requirements into technically and economically viable solutions.
- Ensuring quality, performance, security, maintainability, and traceable documentation throughout the entire solution lifecycle.
- Consideration of data protection, information security, data and AI governance, as well as responsible AI use.
- Support and knowledge transfer for internal teams as well as participation in the development of reusable components and best practices.
- Preparation, integration, and transformation of data required for AI solutions as well as participation in data pipelines and data models (focus on Data & AI Solutions).
- Analysis and exploration of data as well as development of suitable statistical, machine learning, and AI-based approaches (focus on Data & AI Solutions).
- Operation, monitoring, error analysis, and continuous optimization of own and existing AI solutions (focus on AI Solutions & Operations).
- Support with testing, deployment, release management, and handover into structured operational processes (focus on AI Solutions & Operations).
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Our expectations of you
Education
- Completed technical training or degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a comparable field - HTL/FH/TU.
Qualifications
- Understanding of the productive operation of applications, including deployment, monitoring, logging, testing, and troubleshooting (focus on AI Solutions & Operations).
- Knowledge of container technologies, CI/CD, DevOps or MLOps approaches is advantageous.
- Ability to understand technical requirements and translate them into robust, scalable, and maintainable technical solutions.
- Excellent German and English language skills (C1 level).
Experience
- Several years of experience in the development and productive implementation of data, analytics, or AI solutions.
- Good programming skills, especially in Python, as well as experience with APIs, software architectures, and version control.
- Practical experience with Machine Learning, generative AI, Large Language Models, or comparable AI technologies.
- Experience with cloud platforms and AI services, preferably within the Microsoft Azure environment.
- Initial practical experience in data preparation, data integration, data modeling, or building data pipelines, ideally within the context of AI or ML projects (focus on Data & AI Solutions).
- Experience with modern data platforms, ideally Databricks, is advantageous.
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What we offer
- Based on your qualifications, professional experience, and the tasks awaiting you, we will agree on your actual salary.
- The minimum salary, depending on education, based on full-time (38.5 hours per week), ranges between € 3,228 and € 4,355 gross per month (14 times per year).
- Depending on the specific professional experience, a corresponding willingness to significantly overpay is present!
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Benefits
Work-Life-Integration
- 🧳Relocation Support
- 🕺No Dresscode
- ⏸Educational Leave/Sabbatical
- 🏝Extra Holidays
- 🚌Excellent Traffic Connections
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Health, Fitness & Fun
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- 🏋🏿♂️Fitness Offers
- 👩⚕️Company Doctor
- 🙂Health Care Benefits
- 🎳Team Events
- 👨🏻🎓Mentor Program
- ♿️No Physical Barriers
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Magna
Graz, Klagenfurt, Lannach, Weiz, Weikersdorf Am Steinfelde, Traiskirchen, Sankt Valentin, Wien, München, Mühlhausen Im Täle, Sindelfingen, Ingolstadt, Leonberg, Sailauf, Schleiz, Köln, Heilbad Heiligenstadt, Wolfsburg
Magna is a leading technology and mobility company, with 344 production plants and 93 product development, engineering, and sales centers in 27 countries. As the largest automotive supplier in the world, Magna is helping to shape the biggest transformation in auto history by leading the way in electric vehicles, autonomous driving, and innovative manufacturing processes. We offer you all of the opportunity to help create the next generation of cars – join us as we shape the future of mobility together!
Description
- Company Size
- 250+ Employees
- Founding Year
- 1957
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Electronics, Automatization, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
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(3 Reviews)Engineering
3.5Career Growth
4.1Culture
4.3Workingconditions
4.2