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Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud(m/w/x)
Description
In this role, you will bridge the gap between research and application by architecting scalable cloud solutions for ML models while contributing to technical publications and departmental presentations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master studies in Computer Science, Data Science, Cloud Engineering or comparable
- •Strong experience with Python
- •Knowledge of Azure services like Databricks, ADLS, Logic Apps, Power Automate
- •First work experience at company, university or research institute
- •Open-mindedness and creative thinking
- •Independent working style and team spirit
- •Business fluent English and very good German
- •Python programming or Cloud certifications
- •Valid work and residence permit
Education
Tasks
- •Research requirements for scalable cloud-based ML deployments
- •Build prototypes using various Azure services
- •Compare different cloud-based services and architectures
- •Design implementation flows for ML and statistical algorithms
- •Support technical papers and team publications
- •Present research results to the department
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
- Bosch GroupFull-timeInternshipOn-siteRenningen
- Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Thesis - Data-Driven Indicators for Assessing Corporate Resilience in Sustainable Value Creation(m/w/x)
Full-timeInternshipOn-siteStuttgart
Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud(m/w/x)
The AI Job Search Engine
Description
In this role, you will bridge the gap between research and application by architecting scalable cloud solutions for ML models while contributing to technical publications and departmental presentations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master studies in Computer Science, Data Science, Cloud Engineering or comparable
- •Strong experience with Python
- •Knowledge of Azure services like Databricks, ADLS, Logic Apps, Power Automate
- •First work experience at company, university or research institute
- •Open-mindedness and creative thinking
- •Independent working style and team spirit
- •Business fluent English and very good German
- •Python programming or Cloud certifications
- •Valid work and residence permit
Education
Tasks
- •Research requirements for scalable cloud-based ML deployments
- •Build prototypes using various Azure services
- •Compare different cloud-based services and architectures
- •Design implementation flows for ML and statistical algorithms
- •Support technical papers and team publications
- •Present research results to the department
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
About the Company
Bosch Group
Industry
Manufacturing
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
- Bosch Group
Thesis in Development of a Learning Based Compositional Electrical Drive Model(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Thesis - Data-Driven Indicators for Assessing Corporate Resilience in Sustainable Value Creation(m/w/x)
Full-timeInternshipOn-siteStuttgart