AI Data Infrastructure Engineer — Scale Data Pipelines

The Briefed; Islamabad; Remote; PKR 33,259,000 - 49,889,000; Full time

Job summary

Speechify is hiring for a Data Engineer to own all aspects of data collection supporting model training operations. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research work.

The role focuses on expanding ingestion pipelines, cloud infrastructure on GCP, and collaboration with AI scientists to optimize data quality, cost, and throughput for our next-generation products used by millions worldwide.

Qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments.
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
• Experience with web crawlers, large-scale data processing workflows is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

Responsibilities

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline.
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

Skills

Data ingestion

Cloud infrastructure

Collaboration with scientists

Communication skills

Adaptability

Education

Bachelor/Master/PhD in Computer Science or related field

Tools

Docker

Terraform

GCP

Linux/bash

Job description

Speechify is hiring for a Data Engineer to own all aspects of data collection supporting model training operations. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research work.

The role focuses on expanding ingestion pipelines, cloud infrastructure on GCP, and collaboration with AI scientists to optimize data quality, cost, and throughput for our next-generation products used by millions worldwide.