Lead Engineer - Python

Klarna; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Ein führendes Fintech-Unternehmen in Berlin sucht einen Lead Engineer - Python, der Infrastrukturen für maschinelles Lernen entwirft und pflegt. Sie werden mit einem interdisziplinären Team zusammenarbeiten und CI/CD-Pipelines implementieren. Gesucht wird eine erfahrene Fachkraft in MLOps mit tiefen Kenntnissen in Python und Kubernetes. Diese Rolle bietet die Möglichkeit, an der Spitze von innovativen Finanztechnologien zu arbeiten.

Qualifikationen

• Experte in MLOps mit Erfahrung in Kubernetes oder Sagemaker.
• Erfahrung im Management kritischer Produktionsinfrastruktur.
• Fähig, Initiativen über Teamgrenzen hinaus zu leiten.

Aufgaben

• Designen, bauen und warten von Infrastrukturen für ML-Anwendungen.
• Zusammenarbeit mit Datenwissenschaftlern und Ingenieuren.
• Implementierung von CI/CD-Pipelines für Projekte.

Kenntnisse

MLOps

Python

CI/CD-Pipelines

Kubernetes

Sagemaker

Tools

scikit-learn

TensorFlow

Flask

aiohttp

Jobbeschreibung

Apply! We usually respond within two weeks.

About Us

Finden Sie heraus, ob diese Stelle zu Ihnen passt, indem Sie alle unten stehenden Informationen lesen.

With over 150 million global active users and 2 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

• Design, build, and maintain infrastructure supporting machine learning (ML) use cases, including data preparation, training, fine-tuning, serving, and monitoring.
• Collaborate with data scientists, engineers, and ML teams to support development, deployment, and monitoring efforts.
• Implement CI/CD pipelines for data science projects using Jenkins for continuous integration and efficient deployment of ML models.
• Mentor data scientists on best practices for platform development and code optimization, fostering a culture of quality and reliability.
• Provide on-call support for machine learning and visualization platforms.

Who You Are

• Expert in MLOps with experience using Sagemaker, Kubernetes, or other MLOps stacks.
• Experienced in managing critical production infrastructure, with skills in monitoring and logging tools to diagnose issues. Able to provide on-call support.
• Able to lead initiatives beyond team boundaries, driving organizational changes, and writing architectural documentation.
• Proficient in Python with data science libraries such as scikit-learn, TensorFlow, PyTorch, and API frameworks like aiohttp, Flask.
• Experienced in writing CI/CD pipelines.
• A versatile programmer capable of developing cross-language automation solutions.

Nice to Have

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

Closing

Please include a CV in English.

Department : Engineering

Locations : Berlin, Germany

Employment type : Full-time

About Klarna

Since 2005, Klarna has been on a mission to revolutionize retail banking. With over 150 million active users and 2 million transactions daily, Klarna meets changing consumer demands by saving time and money, helping users stay informed and in control.

Over 450,000 global retail partners, including H&M, Saks, Sephora, Macy's, IKEA, Expedia Group, and Nike, have integrated Klarna's technology for seamless online and in-store shopping experiences. Klarna employs over 3,500 people and operates in 45 markets.

Founded : 2005

Co-workers : 3,500

Turnover : 23.5B SEK

Apply! Engineering

• Berlin, Germany Lead Engineer - Python

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