Descripción de la oferta
Position Overview We’re seeking a skilled 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 that enable scalable AI pipelines and optimise workloads across GPU‑powered cloud environments. Working Hours Flexible (US/UK overlap); occasional Saturdays or Sundays for deployments. Location France / Spain / Portugal – Remote (Europe); hybrid option available. 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 focused 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. 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. 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. #J-18808-Ljbffr
