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AI Engineer - Computer Vision & MLOps

New

Job

  • Level
    Experienced
  • Job Field
    Data, Back End
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Temporary employment
  • Location
    Hamburg, Potsdam, Würzburg, Essen, Landshut, Hanover
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this position, you develop computer vision and AI models, implement them in Azure, and optimize quality assurance and MLOps processes while collaborating closely with stakeholders and customers.

    Job Technologies

    Your role in the team

    • Do you want to not only try AI on your notebook but also deploy it productively? With us, you will be part of an agile product team working on the development and operation of a computer vision solution that automates the inspection of assembly images from the online business, thereby directly supporting quality assurance in practice.
    • Our AI detects various quality assurance features in images of counting installations. The models are self-trained, run productively in Azure, and are continuously improved. Through APIs, mobile apps, and Power BI dashboards, the results are delivered directly to technicians, departments, and customers.
    • Model development and integration: In your role, you develop computer vision and AI models, make them production-ready, and integrate them into existing backend systems.
    • Quality assurance of the models: You ensure the quality of the models through continuous analysis of training data, error patterns, and relevant metrics.
    • Operations and Development: You are responsible for the stable operation of the services in Azure and drive the further development of MLOps, deployment, and monitoring processes.
    • Collaboration with stakeholders: As a technical contact person, you work closely with business units and clients, supporting analyses and KPI development, including with Power BI.
    • Innovation Contribution: You actively participate in identifying new AI use cases and help shape the further development of existing solutions.

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    Our expectations of you

    Education

    • You hold a completed university degree in a quantitative discipline such as Data Science, AI, Computer Science, Mathematics, or Physics, or an equivalent qualification.

    Qualifications

    • You feel confident working with APIs, backend integration, and operating productive systems; knowledge of MLOps, Databricks, New Relic, Power BI, or mobile app backends is a plus.
    • You naturally bring a structured way of working, a sense of responsibility for your own tasks, and the ability to communicate technical issues clearly.
    • Very good German skills (C1) as well as good English skills in speaking and writing complete your profile.

    Experience

    • Practical experience in the development of AI or Machine Learning solutions distinguishes you, ideally in the field of Computer Vision or OCR.
    • You have very good Python skills and experience with cloud environments, ideally Azure, as well as with CI/CD and Git.

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    What we offer

    • The position is limited to 2 years.
    • Flexible working hours, 37-hour workweek, and 30 days of vacation, combining home office and on-site presence.
    • Travel time is considered paid working time with us.
    • Parental leave for mothers and fathers is completely normal for us.
    • We offer numerous internal health programs, a high-quality canteen with discounted meal prices, and access to the family service (e.g., support in finding childcare options).
    • Utilize "Workation" and work up to 20 days per year from abroad within Europe.
    • You will receive from us: Attractive tariff-based salary - Christmas bonus - Performance-related pay - Asset-building benefits - Company pension scheme - A globally valid group accident insurance.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    More net

    Food & Drink

    Topics that you deal with on the job

    Job Locations

    • Location Landshut

      Bayern

      Germany

    • Location Würzburg

      Bayern

      Germany

    • Location Essen

      Nordrhein-Westfalen

      Germany

    • Location Hanover

      Niedersachsen

      Germany

    • Location Potsdam

      Brandenburg

      Germany

    • Location Hamburg

      Germany

    This is your employer

    E.ON

    E.ON

    At E.ON, we are committed to making the energy world more efficient and intelligent. Through innovative customer solutions and unique energy networks, we can improve the quality of life for people around the world. Our headquarters is in Essen, from where we coordinate our international activity.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
  • Dev Reviews

    by devworkplaces.com

    Total

    (1 Review)
    3.3
    • Culture

      3.5
    • Workingconditions

      4.0
    • Career Growth

      3.2
    • Engineering

      2.7
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    Logo E.ON

    AI Engineer - Computer Vision & MLOps

    Location
    Hamburg, Potsdam, Würzburg, Essen, Landshut, Hanover
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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