Senior Machine Learning Engineer
vor 4 Wochen
Flink is a leading quick commerce player in Europe, on a mission to give people back time. As a Senior Machine Learning Ops Engineer, 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 will 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.
Key Responsibilities- 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
- 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
- Take a leadership role in helping the team and the rest of the organisation with the development and maintenance of Flink's Data Products
- 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
- 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
- Proficient in Python programming and familiar with the most commonly used libraries for Machine Learning
- 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)
- Extremely comfortable navigating and translating the needs of Data Scientists into concrete and practical solutions in collaboration with Data and Platform Engineers
- Good grasp of CI/CD pipelines and IaC (Infrastructure-as-code) tools
- Open-minded personality, comfortable working in a collaborative Agile environment
- €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
- 30 EUR per month mobility budget with NAVIT, which you can use individually for Uber, BVG and many other providers
- 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
- Cool discount off your personal Flink orders; be the first to test out new products
- Modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
We are committed to evaluating every applicant based on their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
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