Senior AI Engineer – GCP, Vertex AI, Gemini, Python

Job not on LinkedIn

🕒 July 21

🇪🇸 Spain – Remote

💵 €425 - €450 / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 26%

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🗣️🇪🇸 Spanish Required

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Logo of TheWhiteam

TheWhiteam

201 - 500 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

TheWhiteam is a technology consulting firm founded in 2012 that helps companies worldwide optimize business profitability through efficient use of information technologies. The company provides IT consulting and staffing for enterprise and public-sector clients, with expertise across cloud architecture, data center operations, backend and full-stack development, and HR systems like SAP SuccessFactors. TheWhiteam recruits technology professionals and offers flexible, remote and on-site working arrangements across multiple locations.

📋 Description

• Diseñar, desarrollar e implementar soluciones de Inteligencia Artificial y Machine Learning. • Construir y gestionar plataformas de datos y flujos de trabajo de IA sobre Google Cloud Platform (GCP). • Desarrollar arquitecturas basadas en Agentic AI utilizando Vertex AI y Gemini Enterprise. • Desplegar y administrar aplicaciones en entornos Kubernetes (GKE). • Automatizar infraestructuras mediante Terraform (Infrastructure as Code). • Implementar y mantener pipelines CI/CD, DevOps y MLOps. • Optimizar el rendimiento, la escalabilidad y la fiabilidad de las soluciones de IA. • Colaborar con equipos multidisciplinares para transformar necesidades de negocio en soluciones de producción. • Documentar soluciones y contribuir a la mejora continua de las plataformas.

🎯 Requirements

• Experiencia mínima de 6 años en proyectos de Inteligencia Artificial, Machine Learning o plataformas de datos. • Experiencia sólida con Google Cloud Platform (GCP). • Experiencia con Vertex AI, Gemini Enterprise, GKE, GCS y AlloyDB. • Nivel avanzado de Python. • Experiencia con Terraform (IaC). • Experiencia en CI/CD, DevOps y MLOps. • Experiencia con Kubernetes y entornos contenerizados. • Conocimientos de arquitecturas cloud y diseño de soluciones empresariales. • Certificación Google Cloud Professional Machine Learning Engineer. • Nivel fluido de español e inglés.

🏖️ Benefits

• Nuestro convenio es el de Consultoras y estudios de mercado • Tenemos 23 días de vacaciones al año • Tenemos 14 pagas, 12 mensuales y dos extras (junio y diciembre) • Como retribución flexible podemos pedir ticket guardería y también seguro médico + dental.

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