L’offerta in breve

Klarna: Senior Machine Learning Engineer - Credit modelling. Lavoro ibrido in Italia, a Milano. Livello: senior. Contratto: Full-time. Tecnologie indicate: Python, AWS, SageMaker.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

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 hybrid (usually 2–3 office days per week), 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.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.