Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud

Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud

• Full-time
• Legal Entity: Robert Bosch Manufacturing Solutions GmbH

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 GmbHis looking forward to your application!

• 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.

• Education: Master studies in the field ofComputer 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 Englishand very good in German

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, yourPython 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, irrespective of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Apoorva Ravishankar (Functional Department)

Work #LikeABosch starts here: Apply now!