AI / Machine Learning Engineer II
Overview
SumUp is seeking an AI / Machine Learning Engineer II to join its AI team within the Global Operations organisation in Berlin, Germany. The position involves designing, developing, and deploying AI solutions and systems into production environments to support customer service initiatives. Team members collaborate with data scientists, product managers, backend engineers, and business stakeholders to integrate machine learning solutions into applications and platforms.
Who can apply
Applicants are expected to hold a Bachelor’s degree in Machine Learning, Computer Science, or an engineering-related field. Candidates must have at least 4 years of proven experience as a Machine Learning Engineer focusing on building and deploying scalable machine learning or AI solutions and data-driven systems. Professional background should include building AI products such as chatbot assistants or RAG systems, alongside solid software development engineering skills for maintaining large-scale production environments. Experience building and deploying ML models using cloud services like AWS, GCP, or Azure is required, along with expertise in Python and familiarity with MLOps tools, workflow orchestration, algorithm optimisation, and feature engineering pipelines.
What you get
The position is based out of the Berlin office in an office-first setup, with visa sponsorship potentially available for suitable candidates. Employees receive a dedicated annual learning and development budget of 2,000 euros for conferences and further education, enrolment in a VSOP program, and a corporate pension scheme matching up to 20 percent of contributions. Additional benefits include a 30-day sabbatical after completing 3 years of employment, a referral bonus, Urban Sports Club subsidy, Kita placement assistance, relocation assistance, and subsidised office lunches.
Requirements
The role requires working from the Berlin office in an office-first setup.
How to apply
Candidates may apply even if they do not meet every single listed criterion, as requirements serve as a guide rather than an absolute cutoff.