Principal Machine Learning Engineer

Implements machine learning models for production and ensures their readiness for deployment. Automates ML workflows and creates infrastructure to monitor model performance in live environments. Evaluates data quality, security, and privacy impacts on modeling while providing troubleshooting and debugging support. Addresses infrastructure and workflow issues, then collaborates with stakeholders to integrate models into new or extant systems. Develops, maintains, and refines internal tools, platforms, and services, crafting efficient, bug-free code from scratch. Maintains familiarity with current ML developments to integrate new knowledge into model development.