AI Data Infrastructure Engineer

About

AI Data Infrastructure Engineer, a full-time remote position requiring over six years of experience, focused on building and operating large-scale data systems for AI training and evaluation pipelines.

Responsibilities

• Design and operate large-scale data pipelines supporting AI training and evaluation workflows
• Build ingestion systems for various data modalities including text, image, and audio
• Implement data cleaning and quality assurance processes at petabyte scale

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of data engineering experience, particularly with ML or AI workloads
• Strong proficiency in Python and at least one JVM or systems language
• Deep experience with modern data processing frameworks such as Spark, Ray, or Beam
• Hands-on experience with petabyte-scale storage and pipeline systems