Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance
Real job — pulled straight from FIR e. V. an der RWTH Aachen’s careers page · Verified May 23, 2026 · No reposts.
Job description
FIR e. V. an der RWTH Aachen is hiring a Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance — a internship, based in Aachen, NRW role. Apply directly on FIR e. V. an der RWTH Aachen's careers page below.
Master's thesis: Adaptation of MLOps for the integration of AI/ML in maintenance
Location: Aachen, NRW, de
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:
- 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 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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Frequently asked questions
What skills are required for Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen?
The required skills for Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen include: MLOps, AI, Machine Learning.
What is the seniority level for Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen?
Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen is a Internship level position.
How do I apply for Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen?
You can view the full description and apply for Master's Thesis: Adaptation of MLOps for AI/ML Integration in Maintenance at FIR e. V. an der RWTH Aachen on EchoJobs: https://echojobs.io/job/fir-e-v-an-der-rwth-aachen-master-s-thesis-adaptation-of-mlops-for-the-integration-of-ai-ml-in-maintenance-tnuww.