Senior MLOps Engineer

As a Senior Engineer, you will work at the intersection of engineering and data science, building and productionizing machine learning pipelines that power Klarna's credit decisioning. You will take models from development through to production, ensuring pipelines are reliable, scalable, and ready for real-world use. Your day-to-day work will span writing Python to train models, building infrastructure to support the ML pipeline, and deploying models into production using tools such as tree-based models, AWS SageMaker. You will play a key part in scaling Klarna's in-house data science capabilities as we continue to grow our credit risk and fraud offerings. Who you are Strong experience with Python for data science and machine learning development Hands-on experience productionizing machine learning models and pipelines Practical experience with tree-based models Experience with AWS or comparable cloud infrastructure Understanding of MLOps practices for scaling models into production Experience collaborating with cross-functional teams Working proficiency and communication skills in verbal and written English Awesome to have Experience working in credit risk, fraud, or financial services Experience building data pipelines at scale within a larger data science organization Familiarity with model monitoring and observability tools Experience with CI/CD tools for ML deployment Please include a CV in English Curious to learn more about Klarna and what it's like to work here? Explore our career site!