Data & AI Platform Engineer

Role Overview

The Data & AI Platform Engineer is responsible for designing, building, and maintaining the infrastructure and tools that enable the development, deployment, and operation of AI models and large-scale analytical processes. The role involves designing scalable and resilient platforms for Enterprise and AI applications, implementing CI/CD pipelines, and managing infrastructure as code. The engineer will collaborate with development, security, and operations teams to automate operational processes and improve efficiency.

What You Will Do

Design scalable and resilient platforms for Enterprise and AI applications, implement CI/CD pipelines, manage infrastructure as code, automate operational processes, and monitor performance and security of the platform.

Why It Might Be a Fit

The ideal candidate will have a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or similar, and at least 3 years of experience in the role, DevOps, MLOps, or DataOps. Knowledge of Terraform, Bicep, Azure, AWS, or GCP, CI/CD tools, and monitoring tools is required. Good knowledge of the English language is essential, and Spanish is a plus.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or similar
• At least 3 years of experience in the role, DevOps, MLOps, or DataOps
• Knowledge of Terraform, Bicep, Azure, AWS, or GCP
• Experience with CI/CD tools (DevOps, Jenkins, GitHub Actions)
• Skills in Python, R, Bash
• Knowledge of monitoring tools (Grafana, Azure Monitor, ELK)
• Good knowledge of the English language; Spanish is a plus

Benefits

• 12 days of smart working per month