Principal ML System Engineer

📋 Description

• Lead ML platform design for training, deployment, serving, and monitoring
• Set architectural standards for scalable ML pipelines
• Drive MLOps, CI/CD, model registry, and experiment tracking
• Ensure reliability, observability, and security of ML systems
• Mentor engineers and shape company-wide ML infrastructure roadmap

🎯 Requirements

• Expert level in Python and Java
• Experience building ML platforms and MLOps at scale
• Know MLFlow, Kubeflow, Ray or equivalents
• Cloud experience: AWS/Azure/GCP; Docker; Kubernetes
• Leadership in setting technical direction across teams