You are enthusiastic about the idea of a renewable energy supply and want to contribute your creativity and commitment to a motivated team? Then we look forward to your application.

We are looking to strengthen our team with a

Machine Learning Software Engineer (m/f/d) – MLOps


Your essential tasks and responsibilities

  • Collaborate in the software development team for image-based characterization methods of solar cells (Computer Vision)
  • Continuously improve the application by developing, optimizing, and testing new and existing (micro)services
  • Develop AI-based solutions to meet our customer requirements
  • Support application engineers and customers on model optimization
  • Further develop the infrastructure and automation for rapid deployment, analysis, and continuous monitoring of machine learning models (MLOps)
  • Optimize our data pipelines and data selection for data labeling

Your Profile

  • Successfully completed studies in computer science,a related field or an equivalent qualification
  • Excellent programming skills in Python
  • Knowledge in Data Science, implementation and evaluation of Machine Learning models, and experience in Computer Vision (TensorFlow, Keras)
  • Experience with Data Engineering and databases (SQL, Elasticsearch) or container virtualization (Docker) and good Linux knowledge is a plus
  • Knowledge of additional high-level programming languages (JavaScript) is advantageous
  • High interest in modern software solutions and working in a solution-oriented and agile team
  • Teamwork, reliability and high quality standards
  • Good communication skills in English, German preferable

We offer you

  • Permanent job in an innovative company
  • Team-oriented working environment with short decision-making processes
  • Varied job and the opportunity to develop yourself
  • Flexible working hours and 30 days of vacation for a good work-life balance
  • Modern offices with height-adjustable desks
  • Free parking spaces and charging stations for electric cars or e-bikes
  • Company pension plan and further attractive benefits

Contact us

If you have any questions, please contact Saskia Schellenberger, Tel.: +49 69 943 353 -445.

Please send your application, including your salary expectations and earliest possible starting date with the reference number W-240003 by email to:

We are looking forward to your application!


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