Machine Learning Platform Engineer
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Summary
Build and maintain ML infrastructure, model serving, training pipelines, and observability systems to enable scalable, reliable AI deployments.
- Build ML infrastructure platforms
- Build model serving infrastructure
- Create evaluation and benchmarking infrastructure
- Deploy and operate inference systems
- Design model training and evaluation systems
- Develop data preparation and training pipelines
- Enable experimentation and model release tooling
- Implement production observability monitoring tracing alerting
- Optimize reliability scalability latency throughput cost