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Internship Data Science in Manufacturing
Bosch Group · Reutlingen
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Job description
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 digital tools for quality control in production, work closely with our motivated team and benefit from regular exchanges. Join us in shaping new technologies and products!
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During your internship, you will work within Digitalization Department and Production teams at Bosch to advance machine-learning-based algorithms for quality assessment in series production.
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You will actively support the team in understanding the data and identifying research directions.
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Furthermore, you will evaluate deep-learning methods using frameworks such as TensorFlow and PyTorch to identify suitable AI solutions for in-line deployment.
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Finally, you will build prototypes to test and demonstrate research ideas with team members.
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Education: Master studies in the field of Data Science and Machine Learning, Engineering, Physics or comparable with good to very good grades
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Experience and Knowledge: in programming languages/frameworks like Python, PyTorch, SQL and Data Visualization; experience gained through university projects
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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
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Work Routine: we offer you the opportunity to work in a hybrid setup
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Languages: good communication skills in written and spoken English and German
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
Work #LikeABosch starts here: Apply now!
#LI-DNI
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