Lead Engineer - Python

Since 2005, Klarna has been on a mission to reimagine how consumers spend and save in their daily lives. We help people save time and money and reduce financial worry. With over 85 million global active users and 2.5 million transactions per day, our vision is a world where Klarna empowers everyone, everywhere, through seamless financial and commerce experiences—as a personalized, trusted assistant making financial empowerment effortless.

Over 575,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store.

About Us

With over 85 million global active users and 2,5 million transactions per day, Klarna is on the way to becoming the world’s favorite way to shop. To help us get there, we’re assembling an unparalleled global talent team—accelerating individual careers, and disrupting entire industries. We’re looking for people ready to achieve the extraordinary and embrace our bold ambitions as we shape the future of payments and fintech. Will you join us?

What You Will Do

Responsible for designing, building, and maintaining the infrastructure that is needed to support machine learning (ML) use cases from data preparation, training, fine-tuning till serving and monitoring.

Collaborate with data scientists, engineers, and machine learning (ML) teams to support their development, deployment and monitoring efforts.

Implement CI / CD pipelines for data science projects using Jenkins, ensuring continuous integration, and efficient deployment of ML models.

Mentoring data scientists on best practices for development on our platform and code optimizations, fostering a culture of quality and reliability across the data science teams.

Provide on-call support for the machine learning and visualization platforms.

Who You Are

Expert in MLOps having worked with Sagemaker, Kubernetes or other MLOps stacks.

Experience managing critical production infrastructure, ability to use monitoring and logging tools, to diagnose issues. Provide on-call support to platform consumers.

Ability to lead initiatives beyond team boundaries, driving organization level changes, ability to write technical documents for architectural changes.

Extensive experience with programming in Python including data science libraries such as scikit-learn, Tensorflow, PyTorch and API frameworks like aiohttp, flask.

Experience with writing CI / CD pipelines.

A generalist programmer mindset, with ability to code cross- language solutions for existing automations.

Awesome to Have

Experience with web frameworks like Django and familiarity with full stack development.

Closing

Please include a CV in English.