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Responsible for finding audio data sources, managing the cloud infrastructure for the ingestion pipeline, and collaborating on dataset roadmaps for AI products.

The Software Engineer will manage data ingestion for AI model training, enhance cloud infrastructure, and collaborate on dataset development for Speechify products.

As a Software Engineer in Data Infrastructure, you'll handle data collection for model training, manage GCP infrastructure, and enhance data ingestion pipelines.

This role involves data collection for AI model training, managing the ingestion pipeline on GCP, and collaborating on dataset roadmap.

The role involves developing and managing data infrastructure for model training, including finding data sources, operating GCP infrastructure, and collaborating on dataset roadmaps.

Develop and manage data collection infrastructure for AI model training, utilizing cloud services and collaborating with scientists to enhance data quality and processing.

Responsible for data collection to support AI model training, operating cloud infrastructure for ingestion pipelines, and collaborating to enhance data quality and efficiency.

Responsible for data collection to support model training operations, operating the cloud infrastructure, and collaborating with AI team for data roadmaps.

The Software Engineer will manage data collection for AI model training, optimize data ingestion pipelines, and enhance cloud infrastructure using GCP and Terraform, collaborating with scientists to improve data quality and cost efficiency.

The Software Engineer will oversee data collection for model training operations, manage cloud infrastructure, and collaborate with the AI team to enhance data quality and integration.