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AI/ML Ops Engineer

Job

  • Level
    Experienced
  • Job Field
    IT, Data, DevOps
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Karlsruhe, Krefeld
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you optimize the operations of machine learning and GenAI systems, build CI/CD pipelines, and monitor model performance in production environments using Docker and Kubernetes.

    Job Technologies

    Your role in the team

    • In this role, you will ensure the stable, scalable operation of modern ML and GenAI systems and build an end-to-end delivery pipeline from development to production deployment.
    • Development 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 production environments using Docker and Kubernetes
    • Monitoring and optimization of model performance (e.g., drift, latency, costs, availability)
    • Ensuring scalability, stability, and reproducibility of ML workflows
    • Creation of auditable artifacts (e.g., Model Cards, logs, documentation)
    • Close collaboration with Data Scientists, AI/ML Engineers, and Platform Teams
    • Further development of best practices in the field of MLOps and AI operations

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    Our expectations of you

    Education

    • Successfully completed university degree, e.g., in Computer Science, Software Engineering, or a comparable course of study.

    Qualifications

    • Solid knowledge of container technologies (Docker) and orchestration (Kubernetes)
    • Experience in working with monitoring, logging, and tracking tools
    • Good Python skills for automating processes
    • Knowledge of relevant standards (e.g., ISO/IEC 42001)

    Experience

    • Several years of experience in a DevOps or MLOps environment
    • Experience with CI/CD systems and automated deployment processes
    • Experience in LLMOps or the operation of GenAI applications
    • Experience with hybrid infrastructure environments (Cloud & On-Premise)

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    What we offer

    • Attractive salary
    • Strong community of team players
    • Trust-based working hours with flexible scheduling and the possibility to work up to 40% remotely.
    • Numerous training opportunities online and offline
    • Discounts on 1&1 products and various leisure offers
    • In-house restaurant
    • Free drinks and fresh fruit

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

    Topics that you deal with on the job

    Job Locations

    • Location Karlsruhe

      Baden-Württemberg

      Germany

    • Location Krefeld

      Nordrhein-Westfalen

      Germany

    This is your employer

    United Internet AG

    United Internet AG

    As the leading provider of communication solutions in Germany, we offer our users a safe and reliable way to communicate with our strong brands: 1&1, GMX, WEB.DE, and mail.com—despite handling 500 million incoming emails every day!

    Description

  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Dev Reviews

    by devworkplaces.com

    Total

    (1 Review)
    3.4
    • Engineering

      3.3
    • Workingconditions

      3.8
    • Career Growth

      3.2
    • Culture

      3.2
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    Logo United Internet AG

    AI/ML Ops Engineer

    Location
    Karlsruhe, Krefeld
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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