ML Ops Infrastructure Engineer

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