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Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python in a fully remote role.
Build and scale 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.
Build and scale Speechify’s data ingestion pipeline to collect and process petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python on a fully remote team.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process audio/text datasets for AI model training at a text-to-speech company, using GCP and Terraform.
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 web crawlers, cloud infrastructure, and GCP/Terraform to collect and process audio/text data.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models at a fast-growing company.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process audio/text datasets for AI model training at a fast-growing text-to-speech company, using GCP, Terraform, and Python.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Build and scale Speechify’s petabyte-scale data pipeline for AI model training, integrating new audio sources into a GCP-based ingestion system.
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