Machine Learning Platform Engineer
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Summary
Build and maintain ML infrastructure, data pipelines, and model serving systems to enable faster, reliable AI experimentation and deployment.
- Build ML infrastructure platforms
- Build reproducible data pipelines and workflow orchestration
- Create model evaluation benchmarking and regression detection
- Design model training evaluation deployment systems
- Develop model serving inference infrastructure
- Enable faster experimentation for AI teams
- Implement production observability monitoring tracing alerting
- Improve AI reliability scalability latency throughput cost
- Optimize distributed systems performance and bottlenecks