Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable ML/AI solutions, oversee the entire model lifecycle, and optimize algorithms to enhance operational efficiency globally.
Job Technologies
Your role in the 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.
- Übernehmen Sie die Verantwortung und technische Leitung bei der Entwicklung und Wartung der wichtigsten KI-Produkte, einschließlich des AI Assistant (automatisiert ca. 40 % der Anfragen von Händlern), AI Translation (ermöglicht den mehrsprachigen Kundendienst) und des AI Agent Copilot.
- Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training, serving, and continuous monitoring.
- Optimize 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.
- Leiten Sie die Erstellung des Piloten für den Voice Assistant und entwerfen Sie, wie die aktuellen KI-Assistenten-Komponenten genutzt werden können, um neue Kanäle zu stärken.
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Our expectations of you
Qualifications
- 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.
Experience
- 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 in building, maintaining, and scaling APIs, and deploying using CI/CD pipelines in GitHub Actions.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Sumup
Our mission as a global FinTech company is to build the world's first global card acceptance brand, empowering small businesses all over the world and helping them achieve their goals.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Senior Machine Learning Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
