Software Engineer (Data), AI Platform
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El puesto
Own the management of massive GenAI datasets at PB scale, including storage, processing, and validation.
Design and evolve data-pipeline infrastructure with a focus on extreme processing speed and end-to-end throughput.
Collaborate with ML researchers and engineers to accelerate training-data acquisition, improve data quality, and evaluate model outputs.
Enable a closed-loop data lifecycle and lower barriers to data acquisition to maximize data utility across use cases.
Build scalable data services using Python and modern data stores and processing frameworks.
Drive data quality, governance, and instrumentation to support production AI platforms.
Design and evolve data-pipeline infrastructure with a focus on extreme processing speed and end-to-end throughput.
Collaborate with ML researchers and engineers to accelerate training-data acquisition, improve data quality, and evaluate model outputs.
Enable a closed-loop data lifecycle and lower barriers to data acquisition to maximize data utility across use cases.
Build scalable data services using Python and modern data stores and processing frameworks.
Drive data quality, governance, and instrumentation to support production AI platforms.
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