Internship in Data Science & Machine Learning

Your tasks

We are looking for an intern in the field of Data Science and Machine Learning with a keen interest in Production related topics and/or computer vision. As an intern, you will play a key role in shaping the future of computer‑vision technology for quality control in production, work closely with our motivated team and benefit from regular exchanges. Join us in shaping new technologies and products!

• During your internship, you will work within Digitalization Department and Production teams at Bosch to advance machine‑learning‑based anomaly detection algorithms for quality assessment in series production.
• You will actively support the team in understanding the data and identifying research directions. Furthermore, you will evaluate deep‑learning methods using frameworks such as TensorFlow and PyTorch to identify suitable AI solutions for in‑line deployment.
• Finally, you will build prototypes to test and demonstrate research ideas with team members.

Your profile

• Education: studies in the field of data science and machine learning, engineering, physics or comparable with (very) good grades
• Experience and Knowledge: good knowledge and practical experience in programming languages/frameworks like Python, PyTorch, SQL and Data Visualization
• Personality and Working Practice: you are highly motivated to learn new knowledge and make an impact; you handle complex tasks independently as well you communicate clearly and effectively
• Work Routine: office attendance required, mobile working partly possible
• Languages: fluent in English, basic in German

Contact & 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?
Abhishek Dani (Functional Department)
+49 174 3497681