Senior Machine Learning Engineer I

Within the Global Operations organisation, we are seeking a skilled and passionate Senior AI / Machine Learning Engineer to join our talented AI team and lead the development of AI models and algorithms that will drive our customer support service to new heights. You will be responsible for building and optimizing state-of-the-art AI models and algorithms, working closely with cross-functional teams to translate business requirements into innovative AI solutions.

What you'll do

• Architect, design, develop and deploy our AI solutions and systems in production environments, ensuring reliability, high performance and scalability.
• Collaborate and communicate closely with data scientists, product managers, developers and other business stakeholders to bring state-of-the-art AI solutions to Customer Support, enhancing customer experience and improving operational efficiency.
• Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training and serving.
• Optimize and fine-tune machine learning models to improve accuracy, efficiency and scalability.
• 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, CI/CD processes and unit testing frameworks as your day-to-day work.

What you'll need

• Bachelor's degree in Machine Learning, Computer Science or an engineering-related field.
• +8 years of proven experience working as a Machine Learning Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems.
• Relevant experience building AI products, such as Chatbot Assistant, RAG system, etc.
• Excellent software development engineering skills to design computationally effective solutions and maintenance in large-scale production environments.
• Experience building and deploying ML models using cloud services (AWS, GCP, or Azure).
• Expert in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Langfuse).
• Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).
• Excellent analytical and problem-solving skills, with strong attention to detail.

What they offer

• Annual L&D budget of €2,000 for conferences and career development.
• Enrolment onto the VSOP program with ownership stake in SumUp's future success.
• Corporate pension scheme with matching up to 20% of contributions.
• 30 Days Sabbatical after 3 years of employment.
• Urban Sports Club subsidy, Kita placement assistance, relocation assistance, and subsidised office lunches.
• Referral bonus for recommending talented individuals.