Senior MLOps Engineer: Scale Production ML Pipelines

Klarna; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Klarna is seeking a Senior Engineer to bridge engineering and data science, building and productionizing ML pipelines that power credit decisioning. You will move models from development to production using Python and scalable infrastructure in a cloud environment.

Your work will cover training models, deploying them into production, and collaborating with cross-functional teams to scale Klarna's credit risk and fraud capabilities for real-world use.

Qualifications

• 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.

Responsibilities

• Build and productionize ML pipelines powering Klarna's credit decisioning.
• Train models and deploy them to production using scalable infrastructure.
• Collaborate with cross-functional teams to scale credit risk and fraud offerings.

Skills

Python

ML deployment

Tree-based models

AWS

MLOps

Cross-functional teamwork

English communication

Job description

Klarna is seeking a Senior Engineer to bridge engineering and data science, building and productionizing ML pipelines that power credit decisioning. You will move models from development to production using Python and scalable infrastructure in a cloud environment.

Your work will cover training models, deploying them into production, and collaborating with cross-functional teams to scale Klarna's credit risk and fraud capabilities for real-world use.