ML Ops Infrastructure Engineer

Job Summary

A company is looking for an ML Ops Infrastructure Engineer.

Key Responsibilities

• Design and build CI/CD pipelines for ML model development, validation, and deployment
• Architect and maintain model deployment pipelines from research to production
• Implement comprehensive monitoring for model performance in production environments

Required Qualifications

• 4+ years of experience in MLOps, DevOps, or infrastructure engineering focused on ML systems
• Strong proficiency in Python and experience in automation for ML workflows
• Deep experience with CI/CD systems and building pipelines for software delivery
• Hands-on experience with Docker and Kubernetes for container management
• Practical experience deploying and serving ML models in production environments