Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud

During your Master thesis, you will understand the requirements to develop scalable solutions to deploy ML models on Cloud. You will research and build prototypes using Azure services, compare different cloud-based services, and architect the implementation flow for running ML and statistical algorithms.

Requirements

• 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
• business fluent in English and very good in German

Benefits

• good working environment
• diversity and inclusion culture
• rock-solid growth opportunities