Remote ML Data Engineer - Petabyte-Scale Pipelines
Bright Vision Technologies
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Job summary
Bright Vision Technologies is seeking an ML 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 experience operating petabyte-scale data systems, strong software
Qualifications
- Bachelor’s or Master’s degree in Computer Science or related field.
- 6+ 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.
- Experience operating petabyte-scale storage and pipelines.
- Knowledge of distributed systems, data modeling, formats.
- Experience with dataset versioning, lineage, reproducibility for ML.
- Experience with high-throughput data loading for accelerator-based training.
- Strong software engineering including testing, CI/CD, code review.
- Excellent communication and cross-functional collaboration.
Skills
Education
Tools
Job description
Bright Vision Technologies is seeking an ML 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 experience operating petabyte-scale data systems, strong software
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