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Senior Ai Engineer: Gcp/Vertex Ai, Gke, Mlops, Remote

Tamarind Intelligence
Málaga, Spain
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Google Cloud Kubernetes Machine Learning Operations

Job description

The Whiteam Consulting busca un/a Senior AI Engineer con experiencia en Google Cloud Platform (GCP), Vertex AI, Gemini Enterprise y Kubernetes para diseñar, desarrollar e implementar soluciones de IA en un entorno de datos escalables.Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.Se valorará experiencia en arquitecturas Agentic AI y pipelines CI/CD.Se ofrece modalidad 100% remoto para España, freelance, con disponibilidad para viajes puntuales y una retribución de *** €/jornada.Incorporación lo antes posible. xohynlm#J-*****-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Requirements

Se valorará experiencia en arquitecturas Agentic AI y pipelines CI/CD.

Benefits & conditions

Se ofrece modalidad 100% remoto para España, freelance, con disponibilidad para viajes puntuales y una retribución de *** €/jornada. Incorporación lo antes posible. xohynlm #J-*****-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

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29:05
World Congress 2026 Europe • about 1 month ago

Understanding Kubernetes in a visual way

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21:23
World Congress 2024 • almost 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Edit Your Future: Queerverse Radical AI thumbnail
31:30
LIVE • about 2 years ago

Edit Your Future: Queerverse Radical AI

Răzvan Ion

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

AI Agents & Agentic AI thumbnail
26:53
Europe 2026 Virtual • about 1 month ago

AI Agents & Agentic AI

Xavier Sala Presas

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing thumbnail
27:54
World Congress 2026 Europe • about 1 month ago

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing

Piotr Zaniewski

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