• 5+ years of experience as MLOps /ML Engineer
• High proficiency in writing clear, production-ready Python code
• Experience with production ML models (online or offline) and standard MLOps practices
• Experience with monitoring and observability of production systems, with a strong sense of ownership
• Experience with training and operating models on Databricks
• Familiarity in Cloud-based application development (we use AWS & Azure)
• Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
• Strong communication skills, able to express ideas clearly and collaborate across teams
• It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
• Life at Checkout.com http://Checkout.com
• We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
• Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
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