Descripción del trabajo
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Solutions Architect – Cloud & MLOps (Iberia/France Region)
France / Spain / Portugal– Remote (Europe)
About the Company
Our 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.
The Role
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.
Key Responsibilities
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.
Collaborate with customers to understand business requirements and design scalable solution architectures.
Develop and document Infrastructure-as-Code solutions, working closely with support engineers and technical writers.
Help customers optimise AI/ML pipelines for performance, scalability, and efficient resource utilisation.
Serve as the technical point of expertise for customer scenarios across product, support, and marketing teams.
Support marketing and community engagement initiatives including hackathons, conferences, workshops, and webinars.
Requirements
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.).
Excellent communication skills and a customer‑focused mindset.
Fluency in one of French, Spanish or Portuguese is needed.
Nice to Have
Experience with HPC or ML orchestration frameworks such as Slurm or Kubeflow.
Hands‑on experience with deep learning frameworks such as TensorFlow or PyTorch. xpzdshu
Understanding of the cloud ML ecosystem across platforms such as NVIDIA, AWS, Azure, or Google Cloud.
What's on Offer
Competitive salary and benefits package
Flexible remote working within the Iberia region
Strong opportunities for career growth in a rapidly expanding AI infrastructure company
A collaborative and innovative environment working at the cutting edge of AI and cloud technology
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