Master's thesis: Adaptation of MLOps for the integration of AI/ML in maintenance

Your tasks:

• 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

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 and 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