You work on the backend services behind our route-planning estimator and other operational estimators (e.g., process durations, driver availability) and ensure their stability and maintainability
You take responsibility for code quality and structure in our ML repositories (reviews, refactorings, architecture)
You work closely with our Data Scientists and reliably bring models and feature pipelines into production
You develop and operate the associated data and training pipelines in Databricks
You build and maintain CI/CD pipelines in Azure DevOps – including automated tests and deployments
You ensure that our systems run reliably in the cloud environment, analyze incidents in production, and derive sustainable improvements for code and processes

You have experience in professional software engineering and have independently contributed to production services or components: from implementation through reviews and tests to stable operation
You are confident using Python in a production context and write structured, maintainable, and testable code
You have experience with automated testing (e.g., pytest) and ensure appropriately designed unit and integration tests for your services
You have experience with cloud environments and CI/CD
You understand fundamental ML concepts (training/inference paths, features, retraining, evaluation) well enough to comprehend our Data Scientists’ models and pipelines and make them production-ready
You can explain technical topics in an audience-appropriate way and are comfortable in a German-speaking environment; you use English confidently in technical contexts

Work–life balance – organize your working day flexibly and enjoy the freedom of mobile/remote working
Job ticket & company bike – flexible commuting and mobility options
Start-up perks – enjoy free drinks and the occasional game of foosball or table tennis as a break from work
flaschenpost Learning – create your personal learning journey and expand your know‑how through diverse and innovative trainings
Buddy program – your flaschenpost buddy supports you during onboarding
Modern technology – we place great value on progress and innovation
Team and networking events – stay active and get to know colleagues through company sports, game nights, and regular meetups
Corporate benefits – whether shopping or sports: benefit from discounts and offers in online shops, gyms and exclusive conditions with Hansefit and Urban Sports Club
Social responsibility – blood donation drives during working hours to help save lives

Machine Learning Engineer – MLOps, Software Engineering

Key skills