jobapplier

Senior Machine Learning Engineer (AML Tech)

Adyen

Skills

Required

  • machine learning
  • python
  • data science
  • airflow
  • MLOps
  • machine learning model lifecycle
  • k8s
  • docker
  • prometheus
  • pyspark
  • SQL
  • Tensorflow
  • PyTorch
  • Pandas

Preferred

  • ML pipelines
  • data ingestion
  • training
  • validation

Join Adyen, a leading global payment company, as a Senior Machine Learning Engineer in Amsterdam. In this role, you will be part of the Anti-Money Laundering team, where you will develop and maintain production ML pipelines, upgrade existing systems to a modern AI/ML engine, and collaborate with various teams to ensure smooth operations worldwide. You should have at least 7 years of experience in the machine learning domain, strong Python programming skills, and a solid understanding of software engineering practices.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

Responsibilities

  • Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
  • Collaborate with data engineers and data analysts to develop best in class Fintech models.
  • Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth.

Requirements

  • You have experience with the full machine learning model lifecycle in production flows
  • You have knowledge of data science, statistics and machine learning techniques
  • 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
  • You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data
  • You have 7+ years of experience as an engineer working in the machine learning domain
  • You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
  • 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 a strong understanding of good software engineering practices as well as data engineering and MLOps principles
  • You have an experimental mindset with a launch fast and iterate mentality
  • You are a strong Python programmer
  • Worked with extremely unbalanced data
  • Deep PySpark expertise

Preferred

  • Finance domain experience
  • Production LLM experience

Every job at Adyen