Machine Learning Engineer
Adyen is a financial technology company providing a unified platform for payments, data, and financial products. It serves global enterprises, retailers, platforms, marketplaces, and other high-growth businesses.
Projects
About Adyen
Adyen provides payment processing and financial technology services through a single platform. Its offerings include online and in-person payments, payment methods, risk management, authentication, revenue optimization, issuing, payouts, liquidity management, embedded accounts, and capital. Adyen typically serves global enterprises, retailers, SaaS platforms, marketplaces, and other high-growth businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You design, productionize, and maintain scalable machine learning services. You build full-lifecycle ML pipelines, develop recommendation and classification models, optimize training and inference performance, create reusable AI components, and apply software, data engineering, and MLOps best practices.
Requirements
- 4+ years of machine learning experience
- Expert-level Python
- PyTorch
- TensorFlow
- XGBoost or LightGBM
- Pandas
- Scikit-learn
- Spark
- SQL or Trino
- MLOps
- Kubernetes
- Docker
- Airflow
- Argo Workflows
- Prometheus
- Grafana
- Statistics
- Machine learning techniques
- Technical leadership
- Distributed GPU compute
- Machine learning feature stores
Responsibilities
- Develop and maintain production machine learning pipelines
- Adapt global frameworks for localized requirements
- Design and productionize recommendation models
- Design and productionize classification models
- Integrate models into merchant-facing products
- Optimize training and inference performance
- Develop reusable AI components
- Apply software and data engineering best practices
- Partner with MLOps and platform departments
- Lead projects from ideation to deployment
- Translate technical outcomes into clear insights