Staff Engineer

Role & responsibilities

• ML Platform / ML Infrastructure
• ML Training Infrastructure
• Production ML Model Deployment
• MLflow / Model Registry
• Model CI/CD
• GPU / Training Compute Management
• Cloud / ML Compute Cost Optimization
• Retraining Pipelines / Automation
• Technical Architecture & Leadership
• Build vs. Buy Decision-Making
• Strong understanding of the ML infrastructure lifecycle: training evaluation deployment monitoring.

Preferred candidate profile

Perks and benefits