
About the role
Senior Machine Learning Engineer at Klarna in Milan, on the Credit Modeling Pipeline team. Every credit decision runs through a model, and every model runs through pipelines this team operates. The posting is explicit: this is production engineering, not a data science role with some infra on the side.
You write Python to train tree-based underwriting models, then own feature computation, retraining, monitoring, and SageMaker deploys. The team is split between Stockholm and Warsaw. They want people who have already shipped ML to production and kept it alive, not notebook prototypes.
Highlights
- Milan onsite, Klarna credit risk.
- Python, tree-based models, AWS SageMaker, full SDLC on ML code.
- Lead-scope engineering on the underwriting pipeline, despite a Senior title.
- No salary on the Milan posting.
This recap is dataskew's editorial summary, not the company's copy.