Machine Learning Platform Engineer
Summary
Build and operate ML infrastructure, design training/evaluation/deployment systems, and optimize model serving for performance and cost.
- Build and operate machine learning infrastructure and platforms
- Create evaluation and benchmarking infrastructure for model quality and regressions
- Design training evaluation deployment and inference systems
- Develop data preparation training evaluation and release pipelines
- Enable experimentation with tools and reusable platform primitives
- Implement production observability monitoring tracing and alerting for ML workloads
- Improve reliability scalability latency and cost efficiency
- Optimize model serving and inference for throughput and low latency