Remote AI Data Engineer — Scalable ML Data Pipelines

Bright Vision Technologies

Troy (MI)

On-site

USD 80,000 - 100,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking an AI Data Engineer to design and operate large-scale data systems powering AI training and evaluation pipelines.

This remote, full-time role requires 6+ years of data engineering experience, strong Python and JVM language skills, and expertise with Spark/Ray/Beam, data ingestion, transformation, lineage, and high-throughput data delivery to training jobs.

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.
  • Proficiency in Python and at least one JVM or systems language.
  • Deep experience with Spark, Ray, or Beam for data processing.
  • Hands-on experience with petabyte-scale storage and pipelines.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility in ML workflows.
  • Familiarity with 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 pipelines.
  • Focus on ingestion, transformation, quality assurance, lineage, and delivery to training jobs.
  • Ensure data infrastructure supports high throughput and model quality.

Skills

Python
JVM language
Distributed systems
Data modeling
CI/CD
Communication

Education

Bachelor's or Master's in Computer Science

Tools

Spark
Ray
Beam

Job description

Bright Vision Technologies is seeking an AI Data Engineer to design and operate large-scale data systems powering AI training and evaluation pipelines.

This remote, full-time role requires 6+ years of data engineering experience, strong Python and JVM language skills, and expertise with Spark/Ray/Beam, data ingestion, transformation, lineage, and high-throughput data delivery to training jobs.

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