Machine Learning Engineer, Adyen

• 4+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, Data Engineer
• You have strong software development skills, including: version control (e.g. Git and preferable on Gitlab), coding best practices, debugging, unit and integration testing
• You have experience with the full machine learning model lifecycle in production flows
• You have great knowledge of MLOps architectures and practices
• You are very proficient in python
• You have a very good understanding of software engineering practices
• You have a good understanding of machine learning algorithms, and specifically dependencies on engineering and their lifecycle
• You have the ability to diagnose and resolve model performance, scalability, and deployment issues
• You have strong familiarity with the standard data science toolkit, such as (py)spark, MLFlow or similar MLOps frameworks, Airflow
• You have an experimental mindset with a launch fast and iterate mentality
• Team player with strong communication skills, and are able to convey complex outcomes to a wide range of audiences
• You are adept at collaborating with cross-functional teams and driving best practices

Desirable

• Adyen is seeking a Machine Learning Engineer to join our central MLOps team, which is responsible for building platforms and tools for all of our data science teams
• In this role, you will play a crucial part in shaping the MLOps ecosystem at Adyen, serving a variety of machine learning and statistical models for both real-time and batch predictions — from optimizing payments to combating fraud
• Own, develop, deploy and operate tooling and services around MLOps:
• Performant model training and tracking
• Safe, stable and performant machine learning model deployment in both real-time and batch flows, considering latency, reliability and scalability
• Experiment tracking, validation and hyperparameter optimization runs
• Model monitoring for downtime, latency, and drifts
• Ensuring scalability of the MLOps infrastructure and bringing MLOps maturity to the next level
• Building tools to democratize machine learning practices at Adyen. Work closely with product machine learning teams to identify their pain-points, way of working

• Ensuring a smooth and enjoyable candidate experience is critical for us
• We aim to get back to you regarding your application within 5 business days
• Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
• Don’t be afraid to let us know if you need more flexibility