Principal Machine Learning Engineer

Responsibilities

• Implements machine learning (ML) models for production.
• Ensures the readiness of machine learning models for deployment in production.
• Automates machine learning workflows.
• Creates infrastructure and frameworks to monitor the performance of machine learning models in deployment.
• Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling.
• Provides troubleshooting and debugging support.
• Addresses issues in machine learning infrastructure and workflows.
• Collaborates with stakeholders to integrate machine learning models into new or extant systems.
• Develops, maintains, and refines tools, platforms, and services for internal use.
• Develops efficient, bug‑free code from scratch.
• Maintains familiarity with current developments in the machine learning field and integrates knowledge into model development.