ML Platform Engineer
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Requirements
- Build and maintain production ML pipelines and model serving infrastructure
- Design scalable data processing systems handling high-throughput candidate data
- Implement monitoring, logging, and observability for ML systems
- Optimize model inference latency and infrastructure costs
- Collaborate with ML researchers and backend engineers on system design
- Write clean, well-tested Python and infrastructure-as-code
Required Skills
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