Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
SumUp is a financial technology company that empowers small businesses through easy-to-use financial solutions. It serves more than 4 million merchants across over 35 markets and develops products that help small business owners run their businesses.
задачи
Architect, design, develop, and deploy AI solutions and systems in production environments;
Collaborate with data scientists, product managers, developers, and business stakeholders to deliver AI solutions for Customer Support;
Develop and maintain ML infrastructure and pipelines for data processing, model training, and serving;
Optimize and fine-tune machine learning models;
Collect, preprocess, and clean large text datasets for model training and evaluation;
Apply software development principles, best practices, version control, CI/CD, and unit testing;
Integrate machine learning solutions into software applications and platforms.
требования
Bachelor’s degree in Machine Learning, Computer Science, or an engineering-related field;
8+ Years of experience as a Machine Learning Engineer building and deploying scalable machine learning or AI solutions and data-driven systems;
Experience building AI products such as chatbot assistants and RAG systems;
Strong software development engineering skills for large-scale production environments;
Experience with data version control, model serving, continuous monitoring, and alerting;
Experience building and deploying ML models using AWS, GCP, or Azure;
Expert Python skills;
Experience with machine learning workflow orchestration, algorithm optimization, feature engineering pipelines, data ingestion, and transformation;
Understanding of data pipelines, APIs, Docker containers, and Git;
Excellent analytical and problem-solving skills with strong attention to detail;
Working proficiency and communication skills in verbal and written English;
Nice to have: MLOps tools such as MLflow, Kubeflow, Airflow, and Langfuse.
условия
Office-first setup in Berlin;
A dedicated annual L&D budget of €2,000;
VSOP program with an ownership stake in SumUp’s future success;
Corporate pension scheme matching up to 20% of contributions;
30-Day sabbatical after 3 years of employment;
Referral bonus;
Urban Sports Club subsidy, Kita placement assistance, relocation assistance, and subsidized office lunches.