Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud

Bosch Group
Stuttgart, Germany2026-03-20Full-time

About the job

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! 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.

Responsibilities

Understand the requirements to develop scalable solutions to deploy ML models on Cloud; Research and build prototypes using Azure services; Compare different cloud-based services and architect the implementation flow for running ML and statistical algorithms; Support technical papers and publications within the team; Present work results to the department

Qualifications

Minimum

Master studies in the field of Computer Science, Data Science, Cloud Engineering or comparable; 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; Open-minded, creative thinker with independent working style and team spirit; Mostly on-site at the Stuttgart office; Business fluent in English and very good in German

Preferred

No preferred qualifications listed.