ML Platform Engineer

United States - Remote R

USD 100K-150K Senior-level Full Time

@ B...

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Found 1d ago

Tasks

Build autoscaling and capacity management
Collaborate with ML teams for model releases and rollouts
Design and operate model serving platforms
Develop deployment workflows with canary releases shadow testing and rollback
Document operational procedures and performance characteristics
Drive end-to-end observability
Implement caching and prompt deduplication
Implement request routing rate limiting and quality of service
Implement security controls for request signing content filtering and abuse detection
Integrate model serving with API gateways identity and observability
Operate incident response for high availability services
Optimize inference performance
Tune GPU utilization and memory management

Perks/Benefits

Skills/Tech-stack

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ML Platform Engineer

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