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Devops Engineer
hace 2 meses
At Adyen, we're revolutionizing the way businesses interact with their customers through innovative AI solutions. We're seeking a highly skilled Generative AI Platform Developer to join our team in Madrid and contribute to the development of our cutting-edge Generative AI platform.
About the RoleWe're looking for a talented engineer to design and build the infrastructure to host Large Language Models (LLMs) in-house, ensuring scale, performance, and reliability. As a Generative AI Platform Developer, you'll be responsible for:
- Collaborating with the team to develop platform-oriented components for deploying LLMs within Adyen's GPU cluster in Kubernetes.
- Designing and implementing APIs, services, or frameworks to facilitate seamless integration and usage of LLMs within various applications and services.
- Developing observability best practices for the whole LLM infrastructure and building the internal framework to monitor LLM behavior.
- Staying up-to-date with the latest advancements in MLOps tools and practices.
To be successful in this role, you'll need:
- 5+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, or Data Engineer.
- Strong software development skills, including version control (e.g., Git and preferable on Gitlab), coding best practices, debugging, unit, and integration testing.
- Proficiency in Python, Airflow, MLflow, Docker, Kubernetes, and ArgoCD.
- Proficiency with observability tools, such as Prometheus, Logsearch, Kibana, and Grafana.
As a Generative AI Platform Developer at Adyen, you'll have the opportunity to work on cutting-edge AI projects, collaborate with a talented team, and contribute to the development of our innovative Generative AI platform. If you're passionate about AI, machine learning, and software development, we encourage you to apply for this exciting role.
