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