Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare ML/AI-Lösungen, betreust den gesamten Lebenszyklus der Modelle und optimierst Algorithmen zur Verbesserung der betrieblichen Effizienz weltweit.
Job Technologien
Deine Rolle im Team
- You will be the dedicated technical leader for the Operations AI team, focused on designing, developing, and deploying high-performance, scalable ML/AI solutions in production environments.
- Architect, design, develop, and deploy our AI solutions and systems into production environments, ensuring reliability, high performance, and scalability.
- Take ownership and technical leadership in the development and maintenance of main AI products, including the AI Assistant (automating ~40% of merchant requests), AI Translation (enabling cross-language agent service), and the AI Agent Copilot.
- Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training, serving, and continuous monitoring.
- Optimise and fine-tune machine learning models, and collect, preprocess, and clean large text datasets to ensure high-quality input for model training and evaluation.
- Embrace software development principles, best practices, and industry standards, including version control (Git), CI/CD processes (GitHub actions), and unit testing frameworks.
- Collaborate closely with Data Scientists, Product Managers, Developers, and other business stakeholders to enhance customer experience and improve operational efficiency globally.
- Rapidly master a large, existing AI assistant infrastructure, starting immediately with working on behaviour improvements and agentic rollouts.
- Lead the creation of the pilot for the Voice Assistant and design how to leverage current AI assistant components to empower new channels.
Unsere Erwartungen an dich
Qualifikationen
- Expert-level Python proficiency and excellent software development engineering skills for designing computationally effective solutions in large-scale production.
- Good understanding of data pipelines, API design, containers (Docker), and version control (Git).
- A true team player attitude who thrives on cross-functional collaboration.
- Self-drive, proactiveness, and high adaptability in a fast-paced environment, with a commitment to data governance, quality, and ownership.
- A passion for AI Technology, excited to power SumUp's next generation of automated support tools, and able to translate complex concepts to non-technical stakeholders.
Erfahrung
- 7+ years of proven experience as a Machine Learning Engineer or AI Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems.
- Strong previous experience as an ML or AI engineer, with models in production, and a strong understanding of artificial intelligence, machine learning, and deep learning concepts.
- Experience using GenAI / LLM API and experience evaluating LLM models in production.
- Experience building and deploying ML Models using Cloud platforms (AWS, GCP, or Azure).
- Familiarity with MLOps tools (e.g., MLFlow, Kubeflow, Airflow, Langfuse), and hands-on experience with Kubernetes, Git, and Airflow.
- Experience building, maintaining, and scaling APIs, and deployment using CI/CD Pipelines in GitHub actions.
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.
- Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced.
- 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 attending conferences and/or advancing your career through further education.
- A corporate pension scheme where we match up to 20% of your contributions.
- 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.
- 1-month sabbatical after 3 years of service.
- 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
