Descripción de la oferta
Solutions Architect – Cloud & MLOps (Iberia/France Region)¿France / Spain / Portugal– Remote (Europe)About the CompanyOur client is helping lead a new era in cloud computing designed specifically for the global AI economy. They build powerful tools and infrastructure that enable organisations to solve real-world challenges with AI — without the cost or complexity of building large in-house AI or machine learning teams.Headquartered in Amsterdam and publicly listed on Nasdaq, the company has a global presence with R&D hubs across Europe, North America, and Israel. Their growing team includes over 800 employees, with more than 400 engineers specialising in advanced hardware, software, and AI research.This is an opportunity to work alongside some of the most experienced innovators in AI infrastructure and cloud technologies.We're looking for a Solutions Architect specialising in Cloud Infrastructure and MLOps to join a fast-growing technical team. In this role, you will work closely with enterprise clients and AI/ML teams to design, architect, and implement high-performance cloud solutions.You will act as a trusted technical advisor, helping customers build scalable AI pipelines and optimise workloads across GPU-powered cloud environments.Candidates can be based in France, Spain or Portugal and work remotely.Act as a trusted technical advisor to clients, guiding them through architecture, implementation, and optimisation of AI/ML cloud solutions.Run proofs of concept, workshops, technical presentations, and training sessions focused on GPU cloud technologies and best practices.Help customers optimise AI/ML pipelines for performance, scalability, and efficient resource utilisation.5+ years of experience in a technical role such as Solutions Architect, Cloud Engineer, System/Network Engineer, or Developer with a focus on cloud infrastructure.~ Strong hands-on experience with Infrastructure as Code and configuration management tools (preferably Terraform and/or Ansible).~ Experience with Kubernetes and programming in Python.~ Solid understanding of GPU computing for ML training and inference workloads, including GPU drivers and libraries (CUDA, OpenCL, etc.).~ Fluency in one of French, Spanish or Portuguese is needed.Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Understanding of the cloud ML ecosystem across platforms such as NVIDIA, AWS, Azure, or Google Cloud.Flexible remote working within the Iberia regionA collaborative and innovative environment working at the cutting edge of AI and cloud technology#
