Bosch Rexroth - Internship AI curricula development

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."

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Are you passionate about AI but tired of learning from static, outdated datasets?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.