Machine Learning Engineer

At Adyen, we empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. Adyen is looking for a Machine Learning Engineer to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments.

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
• Identify and fix performance bottlenecks in ML training and inference.
• Collaborate with software engineers to integrate ML solutions into products and services.
• Collaborate with data scientists to transition research prototypes into scalable solutions.
• Collaborate with MLOps and platform teams to integrate effectively with current tools.
• Support and encourage good engineering practices on product ML teams.

• 4+ years of experience as an engineer working in the machine learning domain.
• Strong Python programmer.
• Experience with the full machine learning model lifecycle in production flows.
• Experience leveraging big data to create the pipelines needed to feed the models with appropriate data.
• Strong understanding of good software engineering practices as well as data engineering and MLOps principles.
• Knowledge of data science, statistics and machine learning techniques.
• Strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow.
• Knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana.
• Experimental mindset with a launch fast and iterate mentality.
• Proactiveness in taking the lead in projects.