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Adyen is seeking a DevOps Engineer to join our Generative AI team in Madrid. The successful candidate will be responsible for designing and building the infrastructure to host Large Language Models (LLMs) in-house, ensuring scale, performance, and reliability.
The ideal candidate will have 5+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, or Data Engineer. They will be proficient in Python, Airflow, MLflow, Docker, Kubernetes, and ArgoCD, with a solid understanding of DevOps best practices and tools to automate software development and deployment processes.
The DevOps Engineer will collaborate with the team to develop platform-oriented components for deploying LLMs, automate the ML pipeline using MLOps tools and practices, and optimize it for scalability and performance. They will also be responsible for designing and implementing APIs, services, or frameworks to facilitate the seamless integration and usage of LLMs within various applications and services.
The successful candidate will have a strong software development background, including version control, coding best practices, debugging, unit and integration testing. They will also have knowledge of data pipelines and ETL processes to prepare and manage data for ML training and inference, as well as model development and deployment frameworks.
Adyen is an office-first company and values in-person collaboration. The successful candidate will be based out of our Madrid office and will be expected to work closely with the team to deliver high-quality results.
We are an equal opportunities employer and welcome applications from diverse backgrounds and cultures. If you are passionate about DevOps and machine learning, and have a strong desire to work with a talented team, we encourage you to apply.
