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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

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