Machine Learning Engineer II
About The Position
The Machine Learning Engineer works in Penske Logistics' Data Science team, supporting data scientists with AI/ML model development and deployment with an emphasis on auditability, versioning, and data security. This role will design and implement processes to maintain and monitor data science ML models and support data for performance and drift. The Engineer will build and implement applications which make use of AI/ML models. This position works with data scientists as a subject matter expert to ensure ML models are developed appropriately to perform within the expected ranges of accuracy.
Responsibilities
- AI/ML model deployment:
- Take offline models data scientists build and turn them into a real machine learning production system
- Build, implement, and/or support applications which make use of AI/ML models
- Emphasis on auditability, versioning, and data security
- Maintenance and Monitoring
- Design and implement model and data monitoring solutions
- Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc.
- Provide production metrics for data science deliverables
- Work with data scientists as a subject matter expert to ensure ML models are developed appropriately to perform within the expected ranges of accuracy
- Lead Self Service AI (SSAI) initiatives by supporting the citizen data scientists across Penske
- Other projects and tasks as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
