Applied Machine Learning Orchestration Graduate (AML) - 2027 Start
Summary
This graduate role involves developing and optimizing machine learning orchestration systems, focusing on distributed training, inference scheduling, and efficient resource allocation for online learning models.
- Develop training requirements for incremental training and online learning APIs
- Improve training and framework efficiency
- Optimize model update timeliness
- Optimize resource allocation and operational efficiency
- Orchestrate and schedule distributed training and inference
- Schedule traffic for heterogeneous resources
- Synchronize offline to online data and model updates