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FIFIR e. V. an der RWTH Aachen

Master's thesis: Adaptation of MLOps for the integration of AI/ML in maintenance(m/w/x)

Aachen
Part-timeInternshipOn-site
AI/ML

Master's thesis on MLOps adaptation for AI/ML integration in technical system maintenance at an operations optimization firm. Studying industrial engineering or similar required. Flexible time management.

Requirements

  • Studying industrial engineering or similar
  • Very good written and spoken English skills
  • Independent and committed work style
  • Confident in using MS Office programs

Tasks

  • Conduct literature and market research on MLOps trends.
  • Analyze maintenance requirements for AI/ML models.
  • Develop an MLOps approach for AI/ML integration in maintenance.
  • Create practice-oriented documentation with actionable recommendations.

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • MS Office

Benefits

Other Benefits

  • Insights into industry collaboration

Diverse Work

  • Challenging and varied tasks

Flexible Working

  • Flexible time management

Modern Equipment

  • Modern digital working environment

Startup Environment

  • Room for creativity and development
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