Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud
Location: Stuttgart, BW, de
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch Manufacturing Solutions GmbH is looking forward to your application!
Job Description
- During your Master thesis, you will understand the requirements to develop scalable solutions to deploy ML models on Cloud.
- Your thesis will involve research and building prototypes using Azure services.
- You will compare different cloud-based services and architect the implementation flow for running ML and statistical algorithms.
- In addition, you will support technical papers and publications within the team.
- Last but not least, you will present your work results to the department.
Qualifications
- Education: Master studies in the field of Computer Science, Data Science, Cloud Engineering or comparable
- Experience and Knowledge: strong experience with Python; first-hand knowledge of Azure services such as Databricks, ADLS, Logic Apps, Power Automate; first work experience at a company, university or research institute
- Personality and Working Practice: you are an open-minded, creative thinker with independent working style and team spirit
- Work Routine: mostly on-site at the Stuttgart office
- Languages: business fluent in English and very good in German
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations, your Python programming or Cloud certifications 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?
Apoorva Ravishankar (Functional Department)
+49 173 381 1764
Work #LikeABosch starts here: Apply now!
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