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Builds and scales Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a fully distributed team.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a distributed team.
Builds and maintains petabyte-scale data pipelines for AI model training at a fast-growing text-to-speech startup, using GCP, Terraform, and Python.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
Builds and scales Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Linux.
Build and scale Speechify’s data ingestion pipeline to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
Builds and scales Speechify’s petabyte-scale audio data pipeline, integrating web crawlers, cloud infrastructure, and AI research to fuel next-generation text-to-speech models.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training at a fast-growing text-to-speech startup.
Builds and maintains petabyte-scale data pipelines for AI model training at a fast-growing text-to-speech company, using GCP, Terraform, and Python.
Builds and scales Speechify’s petabyte-scale data pipeline for AI model training, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
Builds and maintains petabyte-scale data pipelines on GCP to collect and process audio/text datasets for AI model training, using Terraform and Python.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio data for AI model training, using GCP, Terraform, and Python on Linux.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating cloud infrastructure (GCP/Terraform) with web crawlers and Python/Bash tooling to acquire and process audio/text datasets.
Builds and maintains petabyte-scale data pipelines for AI model training at a text-to-speech startup, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
Builds and maintains petabyte-scale data pipelines for AI model training at a text-to-speech startup, using GCP, Terraform, and Python.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio data for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
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