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About
Design and operate large-scale data pipelines for AI training and evaluation workflows Build ingestion systems for various data modalities, implementing data cleaning and quality assurance at petabyte scale Collaborate with ML researchers to align data systems with model development needs and drive observability of data quality
Required Qualifications
Bachelor's or Master's degree in Computer Science or a related field Six or more years of data engineering experience supporting 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
Languages
- English
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