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Magna

Automotive components and contract manufacturing provider

AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGraz, Austria€3.3k - €4.4k /mo

About the Job

Requirements

  • A completed technical education or degree in Informatics, Software Engineering, Data Science, Artificial Intelligence, or a comparable area (HTL/FH/TU).
  • Several years of experience developing and implementing Data, Analytics, or AI solutions in production.
  • Good programming skills, particularly in Python, and 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 in the Microsoft Azure environment.
  • For the Data & AI Solutions focus, initial practical experience in data preparation, data integration, data modeling, or building data pipelines, ideally in AI or machine-learning projects.
  • For the AI Solutions & Operations focus, understanding of operating applications in production, including deployment, monitoring, logging, testing, and troubleshooting.
  • Ability to understand business requirements and translate them into robust, scalable, and maintainable technical solutions.
  • Very good German and English language skills at C1 level.

Responsibilities

  • Develop and implement AI solutions from requirements analysis and concept through production deployment.
  • Integrate AI models, services, and functions into existing applications, platforms, and business processes.
  • Build scalable, maintainable, and secure solution architectures for AI applications on modern cloud and data platforms.
  • Conduct prototypes and proofs of concept, and systematically move successful approaches into production solutions.
  • Work with business departments to translate requirements into technically and economically viable solutions.
  • Ensure quality, performance, security, maintainability, and traceable documentation throughout the solution lifecycle.
  • Address data protection, information security, data and AI governance, and responsible AI use.
  • Support internal teams through knowledge transfer and contribute to reusable components and best practices.
  • For the Data & AI Solutions focus, prepare, integrate, and transform data needed for AI solutions, and contribute to data pipelines and data models.
  • For the Data & AI Solutions focus, analyze and explore data and develop appropriate statistical, machine-learning, and AI-based approaches.
  • For the AI Solutions & Operations focus, operate, monitor, troubleshoot, and continuously optimize new and existing AI solutions.
  • For the AI Solutions & Operations focus, support testing, deployment, release management, and handover to established operational processes.

Desired Qualifications

  • Experience with modern data platforms, ideally Databricks.
  • Knowledge of container technologies, continuous integration and continuous delivery (CI/CD), DevOps, or MLOps approaches.
  • Enjoyment of cross-functional collaboration and clear communication with technical and nontechnical stakeholders.
  • A structured, independent, and solution-oriented working style with a strong quality focus in an international environment.
  • Analytical thinking.
  • Strong presentation skills and good organizational ability.

About the Company

Magna

Automotive components and contract manufacturing provider

Magna is a global mobility technology company and one of the world's largest automotive suppliers. It designs, manufactures, and integrates components and systems such as body exteriors, powertrains, seating, and ADAS, and also provides complete vehicle engineering and contract manufacturing services. Its products are developed in 338 plants across 28 countries, enabling automakers to outsource from individual parts to full vehicle assembly and to adopt both traditional and electric powertrains in a single facility. Magna's goal is to be a trusted, one-stop partner that accelerates electrification and advanced mobility through its integrated manufacturing and engineering capabilities.

Company size
10,001+
Company stage
IPO
Headquarters
Aurora, Canada
Founded
1957

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