Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Tools für Plattformen im Bereich Machine Learning, unterstützt Datenwissenschaftler bei der Feature-Generierung und standardisierst maschinelle Lerninfrastrukturen für eine bessere Nutzererfahrung.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Strong proficiency in Python and ML libraries.
- 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.
Erfahrung
- 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.
- Experience with ML orchestration tools such as Metaflow, and familiarity with platform tooling such as MLflow, Kubeflow, Tecton, Chronon, or Airflow.
Unser Angebot
- 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.
- Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success.
- A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education.
- A corporate pension scheme where we match up to 20% of your contributions.
- Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days.
- Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches.
- Break4me: 1-month sabbatical after 3 years of service.
- Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Sumup
Unsere Mission bei SumUp ist es, kleinen Unternehmen weltweit zu helfen, ihr Leben zu vereinfachen und damit erfolgreich zu sein. Als globales Finanztechnologieunternehmen wollen wir die erste weltweit akzeptierte Kreditkartenmarke aufbauen.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Internet, IT, Telekom
Senior Machine Learning Engineer
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
