Machine Learning Engineer

Requirements:

• You have 4+ years of experience as an engineer working in the machine learning domain;
• You are a strong Python programmer;
• 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;
• You have knowledge of data science, statistics and machine learning techniques;
• 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 knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana;
• You have an experimental mindset with a launch fast and iterate mentality;
• 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.

In this role, you will:

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment;
• 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 data scientists to transition research prototypes into scalable solutions;
• Collaborate with MLOps and platform teams to integrate effectively with current tools, and shape priority for future tools;
• Support and encourage good engineering practices on product ML teams;

Nice to Have:

• You have experience with distributed GPU compute environments;
• You have experience working with a Machine Learning ‘Feature Store’;

Perks and Benefits:

• Full-time position based in Amsterdam office;
• Relocation required if living outside of the Netherlands;
• Diverse and inclusive work environment at Adyen;
• Smooth and enjoyable candidate experience with quick feedback;
• Encouragement for candidates from underrepresented communities to apply;
• Potential flexibility in the interview process timeline;