Master's Thesis: Adaptation of Mlops for The Integration of Ai/ml in Maintenance
Vor 3 Tagen
**Company Description**
The Service Management department optimizes processes in the operation, maintenance and repair of technical systems. We use modern technologies and innovative concepts to create sustainable added value. MLOps play a decisive role in efficiently implementing data-driven approaches in the context of AI and ML.
**Thesis**objective**: The aim of your thesis is to adapt MLOps approaches specifically to the use case of maintenance. You will develop an approach that enables the effective use of AI/ML in maintenance processes and is supported by MLOps. Based on your results, you will derive recommendations for the implementation of customized MLOps pipelines.
**Job Description** Your** **tasks**:
- 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 and committed as well as careful and goal-oriented way of working
- You are confident in using the common MS Office programs
**Additional Information** 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
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