Machine Learning & Software Engineer (f/m/d)

As we continue to productionize more ML-driven features, we are locking for ML Engineers with additional backend knowledge for two of our teams: The Nautilus product team builds and operates Galaxus’ product search, delivering millions of search results each day and helping customers find the perfect products. Team Enso is responsible for processes for goods receiving within logistics.

What you move

• You’re part of a Software Engineering Scrum team.
• You take the lead in our team for the further improvement of our ML models, as well as ensuring the models run reliably in production.
• You’re a product-minded engineer with the ability to identify new opportunities to raise the automation rate with ML solutions.
• You’re eager to coach a team of software engineers curious to learn more about ML and actively share your knowledge.
• You stay up-to-date with emerging technologies and industry trends to continuously enhance our ML models.
• Beyond ML, you’ll take an active role in software engineering work—from building and evolving APIs to ensuring our infrastructure runs reliably.

What you will bring

• Professional experience: As a software engineer in .NET / C# and Python
• Completed degree (university / university of applied science / higher technical college): In computer science or data science
• German (Fluent): At least work proficiency in one of the two languages
• You’ve had hands-on experience with ML libraries (PyTorch, NumPy, pandas, scikit-learn, transformers, etc.) and you’ve shipped several models to production.
• Experience with MLOps practices and tools (MLflow, DVC, W&B, Airflow) along with cloud/infrastructure technologies such as GCP, Kubernetes, Docker, and Terraform
• Openness, curiosity and initiative are what set you apart. You use your creativity to solve problems and achieve goals. As a team player, you contribute proactively to the team with empathy and a willingness to experiment.
• The capacity to adapt to ongoing changes in the work environment

The benefits we offer

• Flexible working hours
• Flexible workplace / working from home
• Maternity/paternity leave
• Mobile phone subscription
• Employee offers
• Holidays
• Individual continuing training
• Initial and continuing vocation training
• Personal responsibility & freedom
• Room to manoeuvre and decision-making