MLOps and AI Engineer

Job Summary

Seeking a full-time remote MLOps and AI Engineer, the successful candidate will build and operate production-grade infrastructure for AI platforms, focusing on deployment automation, CI/CD, cloud security, and governance.

Key responsibilities:

• Define and implement production-readiness standards for AI platforms, ensuring security, scalability, and observability
• Build and maintain CI/CD pipelines for infrastructure and applications, automating testing and deployment processes
• Implement monitoring and observability solutions to track AI performance, model drift, and incident response

Required qualifications:

• Five or more years of experience in cloud infrastructure, DevOps, MLOps, or AI platform engineering across AWS and Azure
• Professional-level architecture certification in both AWS and Azure is preferred
• Hands-on experience with Azure DevOps, Bitbucket Pipelines, and CI/CD for production systems
• Strong experience with Terraform, Bicep, and infrastructure as code
• Practical MLOps or AI platform operations experience, including deployment and performance monitoring