AI Data Infrastructure Engineer

Job Summary

To support the development of innovative AI solutions, the full-time AI Data Infrastructure Engineer will design and operate large-scale data pipelines, build ingestion systems for diverse data modalities, and implement data quality assurance processes in a fully remote environment.

Key Responsibilities

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

Required 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 operating petabyte-scale storage and pipeline systems