Machine Learning Platform Engineer

- Build ML infrastructure platforms - Build model serving and inference infrastructure - Deploy models and run inference - Design model training and evaluation systems - Develop ML data pipelines for training and evaluation - Enable rapid experimentation for model development and production release - Implement evaluation and benchmarking for model quality and regressions - Improve reliability scalability latency throughput and cost efficiency - Optimize distributed system performance and identify bottlenecks - Set up observability monitoring tracing and alerting for ML workloads