DevOps Engineer
hace 10 horas
At Adyen, we're pushing the boundaries of financial technology to create a seamless payment experience for our customers. Our Generative AI team is working on a cutting-edge platform that enables various applications with Large Language Models (LLMs). We're looking for a skilled DevOps Engineer to join our team in Madrid and help us build a robust infrastructure for hosting LLMs.
Key Responsibilities:- Design and build the infrastructure to host LLMs in-house, considering scale, performance, and reliability.
- Own the deployment strategy of ML models for downstream tasks such as ticket routing, summarization, sentiment analysis, and question-answer retrieval.
- Automate the ML pipeline using MLOps tools and practices, optimizing it for scalability and performance.
- Containerize applications and manage Kubernetes deployments, as well as the infrastructure needed to deploy LLMs internally.
- Develop observability best practices for the whole LLM infrastructure and build the internal framework to monitor LLM behavior.
- Design and implement APIs, services, or frameworks to facilitate the seamless integration and usage of LLMs within various applications and services.
- 5+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, or Data Engineer.
- Strong software development skills, including version control, coding best practices, debugging, unit, and integration testing.
- Proficient in Python, Airflow, MLflow, Docker, Kubernetes, and ArgoCD.
- Proficiency with observability tools, such as Prometheus, Logsearch, Kibana, and Grafana.
- Knowledge of data pipelines and ETL processes to prepare and manage data for ML training and inference.
- Solid understanding of DevOps best practices and tools to automate software development and deployment processes.
We're an office-first company, and we value in-person collaboration. This role is based out of our Madrid office. If you're passionate about building cutting-edge AI infrastructure and working with a talented team, we'd love to hear from you.
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