Remote AI Data Engineer - Scale ML Pipelines

Bright Vision Technologies

United States

Remote

USD 80,000 - 100,000

Full time

5 days ago
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Job summary

Bright Vision Technologies is seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong software engineering

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • Six or more years of data engineering experience, with ML/AI workloads.
  • Strong Python and at least one JVM or systems language.
  • Experience with Spark, Ray, or Beam for data processing.
  • Hands-on experience with petabyte-scale storage and pipelines.
  • Understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Exposure to high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Responsibilities

  • Build and operate large-scale data systems powering AI training and evaluation pipelines.
  • Focus on ingestion, transformation, quality assurance, lineage, and delivery to training jobs.

Skills

Python
Java/Scala

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark
Ray
Beam

Job description

Bright Vision Technologies is seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong software engineering

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