The opportunity
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
What you'll do
Develop and maintain scalable production ML pipelines for feature: engineering, model training, validation, and deployment. Examples ML domains are: supervised and semi-supervised learning methods for inference on credit risk patterns;
Identify and fix performance bottlenecks in ML training and inference (memory: consumption, online latency, training time etc.);
Collaborate with software engineers to integrate ML solutions into products and services;
Collaborate with CreditOps and data teams to integrate effectively with: current tools, and shape priority for future tools;
Support and encourage good engineering practices on product ML teams;
You have 8+ years of experience as an engineer working in the machine learning domain;
What they're looking for
- You are a strong Python programmer and you have experience in Java.
- 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;
