Senior Machine Learning Engineer I

Meyandy LLC; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

SumUp is seeking a Senior AI / Machine Learning Engineer to lead the development and deployment of state-of-the-art AI models for customer support. You will work with data scientists, engineers, and product managers to craft scalable AI solutions that enhance customer experience and operational efficiency.

You will architect ML systems, maintain pipelines, and ensure robust production readiness with CI/CD and monitoring in a fast-paced fintech environment in Berlin.

Qualifikationen

• 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.
• 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 (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 algorithms optimisation, feature engineering pipelines, data ingestion and transformation.
• Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).
• Excellent analytical and problem-solving skills, with strong attention to detail.
• You have working proficiency and communication skills in verbal and written English.

Aufgaben

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

Kenntnisse

Python

Machine Learning

Deep Learning

NLP/LLMs

MLOps

Data pipelines

English communication

Ausbildung

Bachelor’s degree in Machine Learning, Computer Science or an engineering-related field

Tools

AWS

GCP

Azure

MLflow

Kubeflow

Airflow

Langfuse

Docker

Git

Jobbeschreibung

About the team:

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 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.

As a Senior AI / Machine Learning Engineer at SumUp, you will be responsible for building and optimizing state-of-the-art AI models and algorithms. Your expertise with machine learning, deep learning, and LLMs will be crucial in driving the success of our AI-driven initiatives. You will work closely with cross-functional teams, including backend engineers, data scientists and product managers, to translate business requirements into innovative AI solutions. Your contributions will shape the future of our support products and help us stay at the forefront of technological advancements in the field of AI.

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

You’ll be great for this position if you have:

• 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 (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 algorithms optimisation, feature engineering pipelines, data ingestion and transformation.

• Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).
• Excellent analytical and problem-solving skills, with strong attention to detail.
• You have working proficiency and communication skills in verbal and written English.

Why you should join SumUp:

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