Overview
In this role you enable data-science models to run reliably in production by owning the ML infra and operations on AWS and Kubernetes. You will design, deploy, monitor, and scale production ML services, collaborating with Data Scientists who retain model development. You’ll build CI/CD pipelines, IaC workflows, and robust APIs while enforcing security, observability, and cost-efficient operation. This position supports both existing products and new development, offering impact at scale and opportunities to mentor teammates.
Compensaciones / Beneficioscompetitive benefits and salariespersonal and professional development opportunitiesflexibilitygrowth opportunitiescollaborative culture
ResponsabilidadesLead complex MLOps projects with autonomy and judgmentDesign, develop, test, and debug software for customer-facing and internal appsOperate production ML services including deployment, scaling,
and monitoringMaintain Kubernetes deployments and AWS infrastructure for model-serving workloadsDevelop and maintain CI/CD pipelines and infrastructure-as-code for model-serving systemsCreate and maintain APIs, orchestration layers, and data interfaces for production modelsCollaborate with Data Scientists to productionize models and resolve integration issuesBenchmark and stress-test ML/LLM services; ensure reliability and performanceEstablish logging, metrics, alerting, dashboards, incident response, and cost-effective operationOperate MLflow and Kubeflow for lifecycle, pipelines, and workflowsEvaluate new technologies to strengthen systems and enforce engineering standardsMentor junior engineers and contribute to roadmaps and cross-team initiativesShare MLOps expertise and stay current with industry developmentsDevelop domain expertise in at least one cybersecurity application areaDocument technical approaches and decisions
Requisitos principales7+ years in engineering or related roles with hands-on production operationsStrong cloud and software engineering foundat
📌 Sr. MLOps Engineer (Madrid)
🏢 Jobrapido
📍 Madrid
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