About the role
Build and scale ML systems for fraud detection and payment optimization.
- •Company Description We’re Checkout.com.
- •You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
- •We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers.
- •Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes.
- •Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
- •If you want to do career-defining work, you’ve come to the right place.
- •We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
- •With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech
- •and we’re just getting started.
- •As a ML (Machine Learning) Ops Engineer at Checkout.com in the ML Platform team, you will contribute to the development of scalable systems that power real-time fraud detection and payment optimization.
Tech stack
PythonAWSscikit-learnTensorFlowPyTorchSparkDatabricksSageMakerVertex AIKubeflowGitLinux
Match insights
Tech:Python, AWS, scikit-learn, TensorFlow, PyTorch
Level:Senior
Location:Amsterdam