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