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

Open 59d

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

See also