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BOBosch Group

Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud(m/w/x)

Stuttgart
Full-timeInternshipOn-site
AI/ML
Data Science

Developing scalable ML model deployment solutions using Azure services. Python and Azure Databricks, ADLS, Logic Apps, Power Automate experience required. Cloud service comparison, prototype building.

Requirements

  • Master studies in Computer Science, Data Science, Cloud Engineering or comparable
  • Strong experience with Python
  • First-hand knowledge of Azure services (Databricks, ADLS, Logic Apps, Power Automate)
  • First work experience at company, university or research institute
  • Open-minded, creative thinking
  • Independent working style
  • Team spirit
  • Enrollment at university
  • CV, transcript of records, examination regulations
  • Python programming or Cloud certifications
  • Valid work and residence permit

Tasks

  • Understand requirements for scalable ML model deployment
  • Develop scalable solutions for ML model deployment
  • Research cloud-based services
  • Build prototypes using Azure services
  • Compare different cloud-based services
  • Architect implementation flow for ML algorithms
  • Architect implementation flow for statistical algorithms
  • Support technical papers and publications
  • Present work results to the department

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • Python
  • Azure
  • Databricks
  • ADLS
  • Logic Apps
  • Power Automate
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