Software Engineer, MLOps - Machine Learning

What this role involves

Baton, Ryder's in-house product development group, is seeking a Software Engineer for their Machine Learning Pod. The role focuses on building and maintaining MLOps infrastructure, automating model monitoring, retraining, and deployment, and developing machine learning models for production. The position is hybrid, based in San Francisco, with three days in the office.

Skills this posting asks for

• mlops
• machine learning
• distributed systems
• model monitoring
• model retraining
• model redeployment
• champion/challenger testing
• a/b testing
• drift detection
• experiment tracking
• model lifecycle management
• batch prediction
• real-time machine learning
• infrastructure
• software engineering

Requirements

• Level: mid
• Remote policy: hybrid

From the employer’s posting

Who We Are Baton is Ryder’s in-house product development group focused on harnessing…