20 hours ago
Warsaw, PolandSenior
Responsibilities
- Write production Python to train credit underwriting models, including tree-based models, and prepare them for production.
- Build and maintain infrastructure supporting feature computation, retraining, and monitoring across the ML pipeline.
- Deploy and operate models in production using AWS SageMaker.
- Troubleshoot and resolve machine-learning pipeline issues end to end.
- Partner with data scientists and help scale Klarna’s internal data-science capabilities for credit risk and fraud.
Requirements
- Production experience writing Python for machine learning and training models beyond notebook prototypes.
- Experience moving machine-learning models and pipelines from development into production and operating them after launch.
- Hands-on experience with tree-based models.
- Experience deploying and operating ML workloads on AWS or a comparable cloud platform.
- Understanding and application of the software development lifecycle, including version control, testing, and code review, to ML code.
- Experience collaborating with data scientists to turn models into reliable production pipelines.
- Clear spoken and written English communication.
- Preferred experience in credit risk, fraud, financial services, large-scale data pipelines, model monitoring or observability, and CI/CD for ML deployment.
Benefits
- Position based in Stockholm or Milan, working with a team split between Stockholm and Warsaw.
- Most teams currently meet in the office two to three days per week, although this varies by team and may change.
- Diverse skills, perspectives, and backgrounds are welcomed.
Categories
About Klarna
Klarna is a privately held fintech that provides buy now, pay later financing, checkout, and a consumer shopping app for e-commerce and retail. It monetizes through merchant fees, interchange, and interest and fees on financing, while offering marketing and customer acquisition tools to merchants. Founded in 2005 and headquartered in Stockholm, it operates across Europe and North America.