Masters thesis Adaptation of MLOps for the integration of AIML in maintenance

• Literature and market research on current trends and technologies in the field of MLOps and their application in maintenance
• Analysis of specific maintenance requirements for AI / ML models and their operation
• Development of an adapted MLOps approach that facilitates the integration of AI / ML in maintenance
• Derivation of recommendations for action and creation of practice-oriented documentation

Qualifications: Your profile:

• You are studying industrial engineering, mechanical engineering, computer science, or similar
• You have very good written and spoken English skills
• You are characterized by an independent, committed, as well as careful and goal-oriented way of working
• You are confident in using the common MS Office programs

Our offer:

• Insights into the industrial and research business in collaboration with well-known companies and research partners
• Interesting, challenging, and varied tasks in a qualified and dynamic team
• The opportunity for flexible time management and independent work
• A modern, collegial, and digital working environment
• Room for creativity and your personal development

Remote Work:

Employment Type: Part-time

Key Skills:

Experience: years

Vacancy: 1

Master • Aachen, North Rhine-Westphalia, Germany

#J-18808-Ljbffr