Machine Learning Platform Engineer
Summary
Build and operate ML infrastructure, design evaluation systems, and optimize AI pipelines for training, deployment, and inference.
- Build and operate ML infrastructure and platforms
- Create evaluation and benchmarking infrastructure for model quality and regressions
- Design ML systems for training evaluation deployment and inference
- Develop data preparation training evaluation and model release pipelines
- Enable rapid experimentation with platforms tooling and infrastructure
- Implement production observability monitoring tracing and alerting
- Improve reliability scalability latency throughput and cost of AI systems
- Optimize model serving for throughput and low latency