What you'll do
- Design and build ML platform tooling that supports feature engineering, training, experimentation, monitoring, and serving across both online and offline use cases
- Simplify how data scientists create features, reducing reliance on complex Spark workflows through better abstractions or tooling
- Standardise ML infrastructure and developer experience, replacing fragmented, ad hoc solutions with scalable, self-service components
- Partner closely with data scientists to understand their workflows and pain points, translating them into concrete platform improvements
- Mentor data scientists on best practices, helping drive adoption of the platform across teams
- Collaborate with the Data Platform teams to keep ML initiatives aligned with wider data engineering work
You'll be great for this role if
- More than 6 years of experience building production-grade ML infrastructure such as feature stores, training or orchestration frameworks, experimentation platforms, or model serving and monitoring systems
- Strong proficiency in Python and ML libraries.
- Experience with ML orchestration tools such as Metaflow, and familiarity with platform tooling such as MLflow, Kubeflow, Tecton, Chronon, or Airflow
- Solid understanding of batch and real-time data processing patterns, for example Spark, Flink or Kafka
- Comfort working with AWS cloud native services and infrastructure tooling such as Docker, Kubernetes, or Terraform
- Track record of partnering with stakeholders to turn workflow pain points into reusable, self-service platform capabilities
Why you should join SumUp π
π Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
π Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
π Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success
π A dedicated annual L&D budget of β¬2000 for your individual development, which can be used to attend conferences and/or advance your career through further education
πΆ A corporate pension scheme where we match up to 20% of your contributions
π Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
π Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
π΄ Break4me: 1-month sabbatical after 3 years of service
π Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team