1 day ago
Graz, AustriaSenior

Responsibilities

  • Develop and implement AI solutions from requirements analysis and design through production deployment.
  • Integrate AI models, services, and capabilities into existing applications, platforms, and business processes.
  • Build scalable, maintainable, and secure AI solution architectures on modern cloud and data platforms.
  • Create prototypes and proofs of concept and transition successful approaches into production.
  • Prepare, integrate, and transform data for AI solutions and contribute to data pipelines and data models.
  • Analyze and explore data and develop suitable statistical, machine-learning, and AI-based approaches.
  • Operate, monitor, troubleshoot, and continuously optimize AI solutions.
  • Support testing, deployment, release management, and transition into controlled operational processes.
  • Collaborate with business, IT, data, and external partners to translate requirements into viable technical solutions.
  • Support internal teams through knowledge transfer and contribute reusable components and best practices.
  • Ensure quality, performance, security, maintainability, documentation, data protection, information security, governance, and responsible AI throughout the solution lifecycle.

Requirements

  • Completed technical education or degree in computer science, software engineering, data science, artificial intelligence, or a comparable field, such as HTL, FH, or TU.
  • Several years of experience developing and delivering Data, Analytics, or AI solutions in production.
  • Strong programming skills, particularly in Python, with experience in 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 a Microsoft Azure environment.
  • Practical experience with data preparation, data integration, data modeling, or data pipeline development, ideally in AI or ML projects.
  • Understanding of production application operations, including deployment, monitoring, logging, testing, and troubleshooting.
  • Experience with modern data platforms, ideally Databricks, is advantageous.
  • Knowledge of container technologies and CI/CD, DevOps, or MLOps approaches is advantageous.
  • Ability to translate business requirements into robust, scalable, and maintainable technical solutions.
  • Very good German and English skills at C1 level.
  • Preferred qualifications include cross-functional collaboration, clear communication, structured independent work, analytical thinking, presentation skills, and good organizational ability.

Benefits

  • Mobility services and parking near the plant.
  • Home office or flexible working-time models within an agreed framework.
  • Career development, education, and further training opportunities.
  • Discounts, leisure activities, and company events.
  • Company cafeteria, café, and shops.
  • Childcare programs.
  • Health programs and counseling services.
  • Sustainability programs.
  • Regular permanent employment at 38.5 hours per week.
  • Position based in Graz, Austria.

Tech Stack

AzureDatabricksPython
Magna International Inc.

About Magna International Inc.

10,000+ employees

Magna International is a public Canadian automotive supplier that designs and manufactures vehicle systems, modules, and electronics for global automakers, and also builds complete vehicles through Magna Steyr. Founded in 1957 and headquartered in Aurora, Ontario, it operates worldwide as a Tier-1 supplier across body, seating, powertrain, ADAS, and electrification. Its common shares trade on the TSX (MG) and NYSE (MGA).

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