AI / machine learning engineer in customer support in Berlin

Описание

Within the Global Operations organisation, our mission is to build the best customer experience in the fintech industry by delivering an effortless customer experience to all our merchants.

We are seeking a skilled and passionate Senior 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.

Задачи

• 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.
• Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into software applications and platforms.

Требования

• Bachelor's degree in Machine Learning, Computer Science or an engineering-related field.
• 4+ 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.
• Solid Software development engineering skills to design computationally effective solutions and maintain them in large-scale production environments (data version control, model serving, continuous monitoring & alerting).
• 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).
• Experience with machine learning workflow orchestration and algorithm optimisation, feature engineering pipelines, data ingestion and transformation.

Условия

Opportunity to work with Sum Uppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup.

• Commitment to Diversity and

Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced

• A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education.
• Enrolment onto our VSOP program: You will own a stake in Sum Up's future success
• A corporate pension scheme where we match up to 20% of your contributions
• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with Sum Up.
• Referral Bonus: Earn additional rewards by referring talented individuals to join the Sum Up team.
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches.
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