AI Engineer
Posted Updated 1
view
Summary
An AI Engineer in Madrid who designs and delivers high-performance data platforms and agentic AI solutions on the GCP stack (AlloyDB, GCS, GKE, Gemini Enterprise, Agent Platform/Vertex AI) for customer projects. Day to day involves advanced Python development, cloud architecture, and DevOps/MLOps with CI/CD automation.
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.