Our partner is looking for a MLOps Field Engineer based in Spain.
This role is ideal for an MLOps or cloud engineering professional who enjoys solving complex technical challenges directly with customers. You will design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and public or private cloud infrastructure. The position combines technical consulting, solution architecture, hands‐on implementation, and customer engagement rather than traditional software development. You will work on large-scale challenges involving distributed machine learning, real‐time data processing, hybrid cloud environments, and advanced analytics.
As part of a general Field Engineering team, you will collaborate closely with sales, product, engineering, and enterprise customers. Design and architect AI/ML, MLOps, data engineering, and cloud infrastructure solutions aligned with customer workloads and business requirements.
Work across the Linux technology stack, including networking, storage, containers, applications, and infrastructure.




Architect and deploy solutions using Kubernetes, Kubeflow, OpenStack, Spark, and related open source technologies.
Deliver solutions across on‐premises environments and major public cloud platforms, including AWS, Azure, and Google Cloud.
Deploy, test, troubleshoot, and validate technical solutions before handing them over to support or managed services teams.
Develop infrastructure automation and Kubernetes capabilities using Python and other relevant technologies.
Deliver technical presentations, demonstrations, workshops, and training sessions covering cloud, Linux, AI/ML, and open source technologies.
Collaborate closely with enterprise sales teams to support customer engagements, develop opportunities, and achieve shared commercial objectives.
Work with product and engineering teams to communicate customer requirements, provide technical feedback, and influence product and technology roadmaps.
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