AI / machine learning engineer in customer support

SumUp; Berlin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

VSOP программа

Пенсионный план

Годовой бюджет на обучение €2000

Relocation support

60 Days Sabbatical

Job summary

SumUp Inc. ищет старшего инженера по машинному обучению для ведения разработки и внедрения ML-моделей, ориентированных на улучшение обслуживания клиентов. Ваша работа будет включать создание и оптимизацию решений для поддержки клиентов и доходной эффективности, плотное взаимодействие с data scientists и продуктовым отделом.

Требуется 4+ года опыта, знание Python и MLOps, опыт работы в облаке и развёртывания в продакшн. Офис в Берлине, формат работы — офис‑ориентированный.

Qualifications

• 4+ лет опыта в роли ML-инженера, создание и развёртывание масштабируемых ML-решений.
• Опыт разработки AI-продуктов, таких как чат-боты, RAG системы.
• Сильные навыки разработки ПО для продакшн-сред, контроль версий данных, сервисов моделей, мониторинг.
• Опыт работы в облаках (AWS, GCP или Azure).
• Уверенное владение Python; знакомство с инструментами MLOps (MLflow, Kubeflow, Airflow, Langfuse).
• Опыт конвейеров ML, фичинг, обработка данных.

Responsibilities

• Проектировать, разворачивать и поддерживать ML-решения и системы в продакшене.
• Сотрудничать с data scientists и стейкхолдерами для внедрения решений в Customer Support.
• Развивать ML-инфраструктуру и пайплайны для обработки данных, обучения и сервинга.
• Оптимизировать и донастраивать модели для лучшей точности и масштабируемости.
• Подготавливать и очищать большие текстовые датасеты для обучения.
• Соблюдать принципы разработки ПО, версии кода, CI/CD, модульное тестирование.

Skills

Python

MLOps

Data preprocessing

Model deployment

CI/CD

Education

Bachelor's degree in ML/CS/Engineering

Tools

MLflow

Kubeflow

Airflow

Langfuse

Job description

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 SumUppers 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 SumUp'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 SumUp.
• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team.
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches.