Mandatory Requirements
5+ years of experience designing, developing, and delivering high-performance data platforms and agentic solutions.
Proven experience designing enterprise cloud solutions and supporting customer projects through successful completion.
Strong expertise across the GCP stack, including AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE), Gemini Enterprise, and Agent Platform (formerly Vertex AI).
Advanced Python skills, including data structures, algorithms, and software design principles.
Experience with infrastructure provisioning automation, DevOps/MLOps practices, and CI/CD implementation.
Google Cloud Professional Machine Learning Engineer certification.

Preferred Qualifications
Experience providing technical consulting for Data and AI platforms.
Proven experience architecting production-grade, internet-scale Big Data and Machine Learning solutions on public cloud services.
Experience collaborating with Data Scientists and Software Engineers to deliver data-driven solutions.

📌 AI Engineer (Madrid)
🏢 BE
📍 Madrid