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Machine Learning Engineer – MLOps, Software Engineering
flaschenpost SEMachine Learning Engineer developing backend services for operational logistics at flaschenpost. Collaborating with Data Scientists to ensure robust ML services and pipelines.
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- You will 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 production incidents and derive sustainable improvements for code and processes.
Requirements
What you’ll need- 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 highly proficient in Python in a production context and write structured, maintainable, and testable code.
- You have experience with automated testing (e.g., pytest) and ensure well-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 understand our Data Scientists' models and pipelines and make them production-ready.
- You can explain technical topics appropriately for the audience and are comfortable working in a German-speaking environment; you use English confidently in technical contexts.
Benefits
Comp & perks- Work–life balance – shape your working day flexibly to suit your needs and enjoy the freedom of mobile work.
- Job ticket & company bike – so not only your working hours are flexible.
- Start-up perks – enjoy complimentary 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 training opportunities.
- Buddy program – your flaschenpost buddy will support you during onboarding.
- State-of-the-art technology – we place great value on progress and innovation.
- Team and networking events – stay active and get to know your colleagues better 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 donations during working hours to help save lives.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAutomated TestingCode Quality AssuranceProduction Services DevelopmentData Pipeline Development
Soft Skills
Technical CommunicationCollaboration with Data Scientists