AI DevOps / Cloud Engineer (MLOps)

We are seeking an AI DevOps and Cloud Engineer with MLOps capability to build and own the infrastructure backbone for our AI and Data function. This is a foundational role responsible for designing cloud infrastructure from scratch, establishing CI/CD pipelines for the AI team, managing containerization and orchestration, and evolving the platform into a production-grade MLOps environment as the initiative scales. This is a builder role for someone comfortable owning infrastructure end-to-end in a fast-moving environment.

• Design, build, and own the full cloud infrastructure for the AI and Data function on AWS, including VPCs, IAM, networking, security groups, compute, storage, and cost management. Ensure the foundation is solid before any model goes near production
• Build and maintain CI/CD pipelines for data engineers, ML engineers, and data scientists using GitHub Actions or GitLab CI, implementing GitOps principles and automated deployment workflows. Every release should be automated, auditable, and repeatable