Jobs bei Flink in Deutschland

Flink is the leading quick commerce player in Europe. We are on a mission to give people back time: You can order your groceries through our app and we deliver to your doorstep in minutes. We carry 2,500 products with a focus on the leading brands in each category. We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging.

Flink launched in February 2021 and already operates in more than 80 cities in Germany, and the Netherlands. The business generated more than EUR 400m in revenues in 2022 and is operationally profitable. Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala, and Bond, and strategic investors like Doordash and REWE. We take great pride in being an inclusive employer that offers equal opportunities, and we celebrate the diversity and multiculturalism of our team. We're growing fast and always pushing ourselves to do better - we play for #1.

As a Senior Machine Learning Ops Engineer (m/f/d), you will have the opportunity to shape the future of Machine Learning at Flink by working in a dynamic, cross-functional team composed of Data Scientists, Software Engineers, and Platform Engineers. You'll collaborate closely with other teams to innovate and optimize Flink’s machine earning ecosystem. Utilizing a cutting-edge tech stack that includes GCP, Airflow, Git, MLFlow, Kubernetes and KServe, you will drive fast experimentation, seamless training, efficient serving, and scalable deployment of Machine Learning models.

Imagine your work powering intelligent recommendations that enhance user experiences throughout Flink’s app and marketing campaigns. Your contributions will directly elevate the grocery shopping experience for Flink’s customers, making a tangible impact on the business.

• You will create systems that automate processes needed for the lifecycle management of ML models, including model training, testing (both for code and data), monitoring, and deployment
• You will create and scale internal services that deliver real-time predictions needed for Flink’s recommendations engines that have a direct impact on consumer-facing app
• You will take a leadership role in helping the team and the rest of the organisation with the development and maintenance of Flink’s Data Products
• You will closely collaborate with other parts of the organisation like Data and Platform teams as well as internal customers of our Data products to implement the best solutions

• You have at least 4 years of experience designing, developing, and deploying Machine Learning products
• Previous experience with architectural input into the design and build of Data/Machine Learning products
• Are proficient in Python programming and familiar with the most commonly used libraries for Machine Learning
• The ability to effectively provision and configure infrastructure needed for Machine Learning/Data products, as well as deploying/scaling and monitoring them in a public cloud environment
• Experience using and maintaining ML platforms (e.g. MLflow, Kserve, Feast)
• You are extremely comfortable navigating and translating the needs of Data Scientists into concrete and practical solutions in collaboration with Data and Platform Engineers
• A good grasp of CI/CD pipelines and IaC (Infrastructure-as-code) tools
• Open-minded personality, comfortable working in a collaborative Agile environment

• A €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
• 26 days of vacation, +1 day every year up to a maximum of 30 days
• A mobility budget of 30 EUR per month with NAVIT, which you can use individually for Uber, BVG and many other providers
• A cool discount on your Urban Sports Club membership
• Attractive company pension options
• Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
• Online discounts with Corporate Benefits and Future Bens
• A cool discount off your personal Flink orders; be the first to test out new products!
• A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance

It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.