Diehl Defence GmbH & Co. KG | Germany | 90xxx, 88xxx, 66xxx Überlingen, Röthenbach an der Pegnitz, Nonnweiler, Laupheim | Permanent position | Full time | Published since: 16.02.2026 on stepstone.de
AI Engineer / AIOps (m/f/d)
Digital transformation. Reliability. Peacekeeping. We are also working with Diehl in our five subgroups Metal, Controls, Defence, Aviation and Metering and our over 16,000 employees with high pressure. Discover fascinating technologies and apply. In a trusted and courageous family enterprise, which is stable and stable – from tradition. For our locations Diehl Defence GmbH & Co. KG in Überlingen, Röthenbach an der Pegnitz, Nonnweiler and Laupheim we are looking for one:
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Your tasks • Your profile • What we offer
Digital transformation. Reliability. Peacekeeping. We are also working with Diehl in our five subgroups Metal, Controls, Defence, Aviation and Metering and our over 16,000 employees with high pressure. Discover fascinating technologies and apply. In a trusted and courageous family enterprise, which is stable and stable – from tradition. For our locations Diehl Defence GmbH & Co. KG in Überlingen, Röthenbach an der Pegnitz, Nonnweiler and Laupheim we are looking for one:
In this position, design, implement and optimise machine learning models to support our business objectives. In addition to designing AI solutions, such as agent systems or workflows, you will develop automatized workflows for training, valuing and operating ML models (CI/CD pipelines). Using Podman and OpenShift, ensure scalability and efficiency of model infrastructure. You are implementing best practices for MLOps including regulation, automation and monitoring. To support the exchange of knowledge within the team, create documentation and training materials.
A completed study in the field of information, mathematics, data science or a comparable subject is the ideal precondition for this position. You have already been able to gain initial experience in the development and implementation of machine learning models and are familiar with known AI frameworks such as Open WebUI, Ollama or Lang-Chain. In addition, you are familiar with CI/CD pipelines, plating forms for containerization (Podman or Docker) and orchestration tools (OpenShift or Kubernetes). In addition, you have well-founded knowledge of programming languages (Python and R), frame work (TensorFlow, PyTorch and Keras) and tools such as Jupiter. With your data management, data pipeline engineering and DevOps practices, as well as your analytical capabilities, you have a distinctive feel for data-driven decisions. You operate independently and in a solution-oriented manner. You will be happy to work together with interdisciplinary teams. Your experience in agile project management completes your profile.
Collective remuneration Flexible working times Onboarding program Occupational pension Internal training programmes We are looking forward to your application with the identification number 250398. In the case of the same status, the activities of severely hindered persons are preferentially treated. If you are interested, please specify your SB status on a voluntary basis. .
Location
![]() | Diehl Defence GmbH & Co. KG | |
| Überlingen, Röthenbach an der Pegnitz, Nonnweiler, Laupheim | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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