Machine Learning Engineer – MLOps, Software Engineering

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

flaschenpost SE

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🛍️ eCommerce

🛒 Retail

👥 B2C

eCommerce • Retail • B2C

flaschenpost SE is a delivery service company that specializes in providing a range of beverages directly to customers' homes. The company focuses on convenience and a wide selection of drinks, making it easy for customers to order their preferred beverages online and have them delivered promptly.

📋 Description

• 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

• 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

• 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.