Machine learning engineer in AML

Описание:

Adyen is looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. The Anti-Money Laundering team processes a massive transaction volume (over 800B euro in H1 2026) to detect complex financial crime and cover a wide range of customer risks. We currently run a hybrid stack of business rules and machine learning models, with a clear mission to systematically reduce our dependence on static rules and transition to a modern, model-first detection engine.

Задачи:

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment


• Help us upgrade an existing rules-heavy system to a modern automated AI/ML engine


• Collaborate with data engineers and data analysts to develop best in class Fintech models


• Collaborate with operations and compliance teams to ensure Adyen's models operate worldwide without a hitch


• Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth


• Support and encourage good engineering practices

Требования:

• You have 7+ years of experience as an engineer working in the machine learning domain;


• You are a strong Python programmer;


• You have experience with the full machine learning model lifecycle in production flows;


• You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data;


• You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles;


• You have knowledge of data science, statistics and machine learning techniques;


• You have strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow;


• You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana


• You have an experimental mindset with a launch fast and iterate mentality;


• You proactively take the lead in projects, from ideation to deployment.


• You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences.

Будет плюсом:

• Deep PySpark expertise


• Finance domain experience


• Worked with extremely unbalanced data


• Production LLM experience

Условия:

This is a full-time position based in our Amsterdam office, and it requires relocation if you are currently living outside of the Netherlands.