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Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Works on data collection for AI model training, finding new audio data sources, operating GCP infrastructure with Terraform, and collaborating with scientists. Core technologies include GCP, Terraform, Python, and large-scale data processing.
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 data ingestion pipeline to collect petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and scale Speechify’s petabyte-scale data pipeline for AI model training, integrating cloud infrastructure, web crawlers, and data acquisition to power next-gen text-to-speech models.
Builds and optimizes petabyte-scale data pipelines for AI model training, focusing on audio data collection, cloud infrastructure (GCP/Terraform), and cost-efficient workflows to enhance Speechify’s text-to-speech products.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio/text datasets for training AI text-to-speech models on GCP with Terraform.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training next-gen text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s petabyte-scale data pipeline for AI model training, integrating new audio sources and optimizing cloud infrastructure on GCP with Terraform.
Build and scale data pipelines to collect and process petabyte-scale audio/text datasets for training Speechify’s text-to-speech models on GCP using Terraform and Python.
Build and scale data pipelines to collect and process petabyte-scale audio/text datasets for training Speechify’s text-to-speech AI models, using GCP, Terraform, and Python.
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