Machine Learning Platform Engineer
Summary
Build and operate ML infrastructure, design training and inference systems, and optimize model serving for performance and scalability.
- Build and operate machine learning infrastructure platforms
- Create evaluation and benchmarking infrastructure
- Design training evaluation deployment and inference systems
- Develop data preparation and training evaluation pipelines
- Enable experimentation evaluation and faster model shipping
- Identify bottlenecks across the machine learning stack and improve performance
- Implement production observability monitoring tracing and alerting
- Improve reliability scalability latency throughput and cost efficiency
- Optimize model serving for high throughput and low latency