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AI Development Graduate

vor 2 Monaten


Eningen, Baden-Württemberg, Deutschland Knowledge Foundation @ Reutlingen University Vollzeit

Master Student in AI Development

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Dual Education

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Ehningen

Master Student in AI Development

Without Cover Letter. In just 2 minutes.

What can you expect?

  • You work in a multicultural team, collaborating with engineers in Germany and other locations worldwide.
  • You gain deep knowledge in the development life-cycle of a large project, including prototyping, code development, and testing, and integration into existing products and frameworks.
  • You benefit from working with supervisors who have a lot of experience in software development.
  • You learn a lot about state-of-the-art artificial intelligence techniques based on large language models.

What do we offer?

  • Financial independence right from the start – through attractive remuneration. You have the choice between 15 or 20 hours per week.
  • Payment of semester fees as well as reimbursement of travel expenses to the university according to our guidelines.
  • Expense allowance for master's thesis lump sum €2.
  • Our company internal training offers as well as the possibility of badges/certifications.
  • Personal support from the specialist department.
  • Support with career planning as well as coaching and mentoring offers.

What should you bring along?

  • You have a good bachelor's degree with an IT-related focus and a grade point average of 2.5 or better.
  • You are passionate about technology and software solutions related to artificial intelligence, data science, and cloud software development.
  • You are dedicated, enjoy solving problems independently, are willing to take on new challenges, and like to take responsibility and actively contribute your ideas.
  • Your high motivation, communication, and team skills, as well as your customer-oriented thinking and acting characterize you. You are flexible and mobile.

Languages

EnglishGerman

Knowledge and Skills

Artificial IntelligenceData ScienceCloud Computing