Machine Learning Ops Engineer (f/m/d)

  • Barmenia Versicherungen
  • Wuppertal, Germany
  • 02/05/2024
Full time Machine Learning Business Intelligence Software Engineering DevOps

Job Description


As an innovative and future-oriented insurance group, Barmenia is one of the largest employers in Wuppertal. Across Germany, a total of over 4,900 employees work on modern insurance solutions. The satisfaction of our customers is always our focus.

The Data Science team is continuously working on expanding automation in important business processes at Barmenia. Current machine learning methods and language models are used. Development, training, integration and operation of the models are part of the team's tasks. Does this correspond exactly to your ideas? Then we are looking for you to join our team (Ref. No.:912)!
We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity.

Your responsibility

  • Further development of machine learning ops environments based on Kubernetes including graphics processors and AI frameworks
  • Further development and maintenance of the model registry
  • Monitoring and optimization of AI Kubernetes cluster and GPU utilization
  • Further development of AI pipelines and frameworks
  • Participation in extensive AI projects and close collaboration with colleagues from the areas of data science and platform services

Your competence

  • Completed university degree in computer science, data science or a related field
  • In-depth Kubernetes knowledge and experienced handling of operators
  • Knowledge of techniques for operating software and models in containers
  • Practical experience with relevant frameworks and tools in the field of machine learning
  • Programming knowledge, preferably in Python
  • Independent and structured way of working, ability to work in a team

Your benefit

Our culture of trust and responsibility is the basis for respectful cooperation and cooperation. Your professional and personal development is very important to us; you can continuously improve your professional qualifications through a diverse range of further training courses. Our company health management and work-life balance ensure an optimal work-life balance. Further benefits for you:

  • Flexible working hours/trusted working hours
  • Mobile working/home office (up to 80%)
  • Company pension scheme (bAV)
  • Company health insurance (bKV)
  • Employee restaurant and cafeteria (subsidized)
  • Mobility offers (company bike, job ticket)
  • and much more.

contact person

Laura-Jane Krüger
Human Resources Officer
Department of Human Resources and Organization