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Machine Learning Engineer

Adyen · Amsterdam, Netherlands

Imported listingfull-time4 days ago

About The Role

Join Adyen, a leading global payment company, as a Machine Learning Engineer in Amsterdam. You will design, productionize, and maintain machine learning services that power data products. Collaborate with software engineers, data scientists, and MLOps teams to integrate ML solutions into products and services. Enjoy benefits such as a global exchange program, weekly happy hour, delicious healthy lunches, and work from home opportunities.

  • Design, productionize, and maintain machine learning services that power data products at Adyen.
  • Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
  • Collaborate with software engineers, data scientists, and MLOps teams to integrate ML solutions into products and services.
  • You have 5+ years of experience as an engineer working in the machine learning domain
  • You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles
  • You are a strong Python programmer
  • You have an experimental mindset with a launch fast and iterate mentality
  • You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data
  • You have knowledge of data science, statistics and machine learning techniques
  • 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 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 with the full machine learning model lifecycle in production flows
  • 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!
  • You have experience working with a Machine Learning ‘Feature Store’
  • You have experience with distributed GPU compute environments

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