Remote DevOps/MLOps Engineer

Job Summary

To support a growing team, the part-time Remote DevOps/MLOps Engineer will design, build, and maintain scalable infrastructure and automation pipelines, blending traditional DevOps practices with machine learning operations.

Key responsibilities:

• Design and implement CI/CD pipelines for applications and machine learning workflows
• Build and maintain scalable infrastructure using containerization and infrastructure-as-code tools
• Deploy, monitor, and maintain machine learning models and pipelines in production environments

Required qualifications:

• 3+ years of hands-on DevOps or infrastructure engineering experience
• Strong proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation
• Solid understanding of CI/CD concepts and experience with tools like Jenkins or GitLab CI/CD
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)