Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
СберЗдоровье — аккредитованная IT-компания и одна из крупнейших Digital Health-платформ в России. Мы развиваем новое AI-направление: мобильное приложение, ИИ-помощника, персонализированный риск-профиль и сервисы,…
Builds and operates petabyte-scale data pipelines on GCP to collect and process audio/text for AI model training, collaborating with research scientists to improve cost, throughput, and quality.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating web crawlers, cloud infrastructure on GCP, and Python tooling to acquire and process audio/text datasets.
Build and maintain Speechify’s petabyte-scale data ingestion pipeline on GCP, sourcing audio/text data to train next-gen text-to-speech models for millions of users.
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 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 Speechify’s petabyte-scale data pipelines for AI model training, integrating web crawlers, cloud infrastructure, and GCP/Terraform to acquire and process audio/text data.
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.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training at a fast-growing text-to-speech company.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for AI model training at a fast-growing text-to-speech company.
Build and scale 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 pipeline to collect and process petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Builds and maintains Speechify’s backend services (payments, subscriptions, APIs) using TypeScript/Node.js and cloud platforms, ensuring scalable, high-performance text-to-speech infrastructure.
Builds and maintains Speechify’s backend services (payments, subscriptions, TTS APIs) using TypeScript/Node.js on GCP, with optional AWS/Azure, to power the company’s text-to-speech platform.
Builds and maintains Speechify’s backend services (payments, subscriptions, APIs) using TypeScript/Node.js, GCP, and Kubernetes to power its text-to-speech platform used by 50M+ users.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using TypeScript/Node.js, GCP, and Kubernetes in a fully remote, fast-paced team.
Builds and maintains Speechify’s backend services (payments, subscriptions, APIs) using TypeScript/Node.js, cloud platforms, and containerized deployments to power its text-to-speech products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.