Senior Infrastructure Engineer (ML/AI) Barcelona, Spain; Madrid, Spain
Role details
Job location
Tech stack
Job description
As a Middle Infrastructure Engineer, you will be responsible for deploying, scaling, and maintaining services for the ML/AI team. You will closely work with ML Engineers and Data Scientists as part of a small, flexible team and will have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions.
Requirements
BS/MS degree in Computer Science, Engineering or a related subject (or equivalent experience)
3-5 years professional experience in hands-on engineering roles (DevOps/SRE)
6+ months of experience with hosting AI models (ML flow, AWS SageMaker, Azure AI, Kubernetes) is preferred
6+ months of experience with ML Ops (ML flow, vector databases (Qdrant), Dagster) is preferred
Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service) Soft Skills / Personal Characteristics
Readiness to communicate in English with your colleagues