What you will do

• Design, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency.

• Dive deep into statistical analysis, probability, and machine learning/deep learning models. • • Critically evaluate existing solutions and develop novel approaches where needed. A foundational understanding of NLP architectures like Transformers is a plus.

• Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.

• Create and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs.

• Utilize SQL proficiency to perform in-depth data analysis and feature engineering.

Who you are

• Proven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable.

• High proficiency in Python.

• Strong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models.

• Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring.

• Experience in API schema design and development, and building containerized applications (e.g., using Docker).

• Excellent communication and stakeholder management skills.

• Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus.

Awesome to have

• An academic background in Physics, ML, Data Science, Mathematics, or Biology.

• Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context.

Please include a CV in English.

Curious to learn more about Klarna and what it’s like to work here? Explore our career site!