As an ML (Machine Learning) Ops Engineer at Checkout.com in the ML Platform team, you will contribute to the development of scalable systems that enable real-time fraud detection and payment optimization.
## Impact
- Build systems for training, deployment and monitoring of machine learning models in our payment platform, at scale
- Scale our feature store to handle more and increasingly complex use-cases both online and offline
- Deliver end-to-end features with full ownership under guidance from talented engineers
## Requirements
- Proficiency in writing clear, production-ready Python code
- Familiarity with production ML models (online or offline) and standard MLOps practices
- Familiarity with monitoring and observability of production systems, with strong sense of ownership
- Familiarity with cloud-based application development (we use AWS)
- Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
- Strong communication skills, able to express ideas clearly and collaborate within teams
- Growth mindset, always seeking challenges
- Curiosity to tackle open-ended problems and learn from failures