Senior Machine Learning Engineer (AML Tech)

Join Adyen, a leading global payment company, as a Senior Machine Learning Engineer in Amsterdam. In this role, you will be part of the Anti-Money Laundering team, where you will develop and maintain production ML pipelines, upgrade existing systems to a modern AI/ML engine, and collaborate with various teams to ensure smooth operations worldwide. You should have at least 7 years of experience in the machine learning domain, strong Python programming skills, and a solid understanding of software engineering practices.

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
• Collaborate with data engineers and data analysts to develop best in class Fintech models.
• Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth.

• You have experience with the full machine learning model lifecycle in production flows
• You have knowledge of data science, statistics and machine learning techniques
• 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
• You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data
• You have 7+ years of experience as an engineer working in the machine learning domain
• You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
• 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 a strong understanding of good software engineering practices as well as data engineering and MLOps principles
• You have an experimental mindset with a launch fast and iterate mentality
• You are a strong Python programmer
• Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
• Finance domain experience
• Production LLM experience
• Worked with extremely unbalanced data
• Deep PySpark expertise