0AI/ML Ops Engineer (m/f/d)
1&1 | Germany | 63xxx, 56xxx, 76xxx, 40xxx Karlsruhe, Frankfurt, Krefeld, Montabaur | Permanent position | Full time / Home office | Published since: 27.04.2026 on stepstone.de

AI/ML Ops Engineer (m/f/d)

Branch: IT-network engineering, IT-... Branch: IT-network engineering, IT-coordination, IT-administration and IT-organisation


1&1 is one of the leading telecommunications providers in Germany with over 3,100 employees and nearly 16 million customer contracts. With pioneering spirit, unusual ideas and creative teams, we have won a leading market position in mobile and broadband connections. By combining the over 67,000 km long 1&1 fiber optic network and regional networks, we create Germany's most extensive fiber optic network. We also build the most modern 5G network in Europe, based on the new Open-RAN technology. With open interfaces and 5G functions in a powerful cloud infrastructure. Continue the 1&1 success story by designing the future through the deployment and development of innovative technologies. Be part of 1&1. .

Your tasks • Your profile • What we offer

In this role, ensure the stable, scalable operation of modern ML and GenAI systems and build a continuous delivery chain from development to productive use. Construction and operation of CI/CD/CT pipelines for machine learning models and GenAI applications (including prompt workflows) Implementation and management of model registry, versioning and deployment processes Deployment of AI services in productive environments using Docker and Kubernetes Monitoring and optimization of model performance (e.g. drift, latency, costs, availability) Ensuring scalability, stability and repeatability of ML workflows Creation of auditable artifacts (e.g. model cards, logs, documentation) Close cooperation with Data Scientists, AI/ML Engineers and platform teams Further development of best practices in the field of MLOps and AI operations

Successfully completed studies, e.g. in computer science, software engineering or a comparable degree programme Multiannual experience in the DevOps or MLOps environment Funded knowledge of container technologies (docker) and orchestration (column) Experience with CI/CD systems and automated deployment processes Practice in handling monitoring, logging and tracking tools Good Python knowledge for the automation of processes Experience in the field of LLMOps or Operation of GenAI applications Knowledge of relevant standards (e.g. ISO/IEC 42001) Experience with hybrid infrastructure environments (Cloud & On-Premise)

  • Attractive salary
  • Strong community of team players
  • Working hours of confidence with flexible classification and the possibility of working up to 40% mobile
  • Numerous training options on- and offline
  • Discounts on 1&1 products and for various leisure activities
  • In-house restaurant
  • Free drinks and fresh fruit
  • Jobrad grant

Location

ava 1&1
Karlsruhe, Frankfurt, Krefeld, Montabaur
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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