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Internship AI Curricula Development

vor 2 Stunden

Ulm, Deutschland Bosch Vollzeit

Company Description

At Bosch Rexroth, everything revolves around movement and the success of our customers. With our networked drive and control technologies as well as digital solutions, their machines and systems work efficiently, safely and powerfully. We offer components, system solutions and services for mobile and industrial applications as well as for factory automation. In all areas, we value the know-how and commitment of our employees and enable dynamic careers in an international environment.

Around 33,800 people in over 80 countries - and one corporate purpose: "We move industries to make our planet a better place."

Do you want to make a difference? Then we look forward to receiving your application to Bosch Rexroth AG.

Job Description

Bridge the Gap Between AI Theory and Industrial Reality. Shape the Future of AI Education.

Are you passionate about AI but tired of learning from static, outdated datasets? Do you want to see how AI models truly come to life in a real-world setting?Join our pioneering team for an immersive internship where you won't just learn about AI—you'll build the educational framework that teaches it. We are developing a revolutionary AI curriculum within our state-of-the-art Learning Factory, a fully operational, scaled-down industrial environment. This is your chance to move beyond notebooks and theory to tackle the entire AI project lifecycle, from generating live data on a production line to deploying and monitoring models that solve real business problems.

As an AI Curricula Development Intern, you will be an essential contributor to this initiative. You will work alongside our senior AI researchers and engineers to translate complex AI concepts into practical, engaging learning modules. Your focus will be on supporting the development of specific use cases that bring the curriculum to life.

  • During your internship you will focus on a specific area like implementing an anomaly detection system on a conveyor belt or developing a basic computer vision model for quality control.
  • You'll actively participate in generating real, dynamic data from our factory's sensors and machinery, learning the challenges and best practices of creating datasets that reflect industrial reality.
  • Under expert guidance, you will assist in building and training initial AI models. This is your opportunity to apply concepts like predictive maintenance, virtual sensors, and even experiment with transformers or GANs on a manageable scale.
  • Furthermore you'll develop clear, concise training materials, including code examples, step-by-step tutorials, and documentation that explains not just the how, but the why behind each use case.
  • Gain experience in helping to document how a solution developed in the learning factory e.g., reducing simulated defects translates to significant impact in a full-scale industrial setting.
  • Lastly you will gain foundational exposure to MLOps by observing and assisting with the processes for model versioning, deployment, and monitoring within the learning factory's infrastructure.

Qualifications

  • Education: studies in the field of Computer Science, Data Science, Engineering, or comparable
  • Experience and Knowledge: good programming skills in Python and data science ecosystem, e.g. pandas, NumPy, scikit-learn; basic understanding of a deep learning framework like TensorFlow or PyTorch
  • Personality and Working Practice: you are a natural problem-solver, eager to learn, and not afraid to ask questions; you thrive in a collaborative as well as dynamic environment and are excited by the prospect of hands-on work; you can manage your tasks effectively, document your work clearly, and are motivated to see a project through
  • Work Routine: we offer you the possibility to work remotely part of the time
  • Languages: business fluent in English

Additional Information

Start: according to prior agreement

Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?

Joerg Schmitt (Functional Department)

You can also find more information about us at and on our social media channels, for example Instagram.

Move with us. Win together.

LI-DNI