Principal Machine Learning Engineer
On-siteSeattle, Washington, United States
Job Summary
Implement machine learning models for production and ensure their readiness for deployment. Automate ML workflows and create infrastructure to monitor model performance post-deployment. Evaluate data quality, security, and privacy impacts on modeling while providing troubleshooting and debugging support. Address issues in ML infrastructure and workflows, then collaborate with stakeholders to integrate models into new or extant systems. Develop, maintain, and refine internal tools and platforms, building efficient, bug-free code from scratch. Maintain familiarity with current ML developments to integrate new knowledge into model development.
Required Qualifications
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.