SMTS Software Engineer - ML Infrastructure
仕事内容
Design and deliver scalable generative AI services that can be integrated with many applications and tenants at production scale.
Drive system efficiency through automation, capacity planning, configuration management, performance tuning, monitoring, and root-cause analysis.
Participate in on-call rotations and respond to critical issues to ensure reliability.
Partner with Product Managers, Architects, Data Scientists, and Deep Learning researchers to translate customer requirements into production-ready prototypes and deployments.
Own the end-to-end ML infrastructure lifecycle, including data, training, inference, orchestration, model management, and experimentation.
Collaborate across teams to solve challenging problems and drive innovative ML solutions in a scalable, production-focused environment.
Drive system efficiency through automation, capacity planning, configuration management, performance tuning, monitoring, and root-cause analysis.
Participate in on-call rotations and respond to critical issues to ensure reliability.
Partner with Product Managers, Architects, Data Scientists, and Deep Learning researchers to translate customer requirements into production-ready prototypes and deployments.
Own the end-to-end ML infrastructure lifecycle, including data, training, inference, orchestration, model management, and experimentation.
Collaborate across teams to solve challenging problems and drive innovative ML solutions in a scalable, production-focused environment.
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