machine learning engineer for customer support

Enfint; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Office-first setup in Berlin

Annual L&D budget €2,000

VSOP program with ownership stake

Pension scheme matching 20%

30-day sabbatical after 3 years

Referral bonus

Urban Sports Club subsidy

Kita placement assistance

Relocation assistance

Subsidized office lunches

Zusammenfassung

SumUp ищет опытного инженера по машинному обучению для проектирования, разработки и развёртывания AI-решений в продуктивной среде. вы будете взаимодействовать с учёными, продакт-менеджерами и разработчиками для создания решений поддержки клиентов. требуется обширный опыт в Python, ML/PyTorch, и работа с облаками.

Основные задачи включают инфраструктуру ML, pipelines для обучения и сервиса, а также внедрение CI/CD и мониторинга. Вакансия предусматривает офис в Берлине и пакет льгот.

Qualifikationen

• 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

Aufgaben

• 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

Kenntnisse

Python

ML/DL

AWS/GCP/Azure

Docker

CI/CD

Data pipelines

English

Team collaboration

Problem solving

Ausbildung

Bachelor's degree

Tools

MLflow

Kubeflow

Airflow

Langfuse

Jobbeschreibung

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.