Description
At Adyen, we're engineered for ambition. We empower our teams with the culture and support they need to own their careers.
We are looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering team in Amsterdam. As a Senior Machine Learning Engineer, you will develop and maintain production ML pipelines for data ingestion, training, validation, and deployment. You will help us upgrade an existing rules-heavy system to a modern automated AI/ML engine and collaborate with data engineers and data analysts to develop best-in-class Fintech models.
Responsibilities:
- 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
Requirements:
- 7+ years of experience as an engineer working in the machine learning domain
- Strong Python programming skills
- Experience with the full machine learning model lifecycle in production flows
- Experience leveraging big data to create pipelines needed to feed models with appropriate data
- Strong understanding of good software engineering practices and data engineering and MLOps principles
- Knowledge of data science, statistics, and machine learning techniques
- Familiarity with standard data science toolkits in Python, such as PySpark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, and Airflow
- Knowledge of ML infrastructure components with tools such as Kubernetes, Docker, Airflow, Argo Workflows, Prometheus, and Grafana
Nice to Have:
- Deep PySpark expertise
- Finance domain experience
- Experience working with extremely unbalanced data
- Production LLM experience