Machine Learning Engineer, API Multicloud
Summary
Build and deploy ML systems, debug models and APIs, and scale post-training workflows in multicloud environments.
- Apply model improvements into production
- Build production ML systems
- Debug model behavior training data and APIs
- Define target model behaviors
- Diagnose failure modes
- Evaluate training outcomes
- Identify improvements to data and evaluation
- Integrate ML capabilities into AWS native environments
- Operate end to end in ambiguous environments
- Propose and implement post training platform improvements
- Scale post training and fine tuning workflows