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3 дня назад

Machine Learning Data Engineer (AI)

80 000 - 100 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Data Engineer (AI) (Python/Spark/Ray/Beam): Building and operating large-scale data systems for AI training and evaluation pipelines with an accent on ingestion, transformation, data quality, lineage, and high-throughput delivery. Focus on operating petabyte-scale storage and pipeline systems, supporting accelerator-based training, and ensuring reproducibility and training efficiency across distributed workloads.

Location: 100% remote within the United States

Salary: $80,000–$100,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Build and operate large-scale data systems supporting AI training and evaluation pipelines.
  • Develop ingestion and transformation workflows for diverse data modalities.
  • Ensure data quality, lineage, versioning, reproducibility, and efficient delivery to training jobs.
  • Operate petabyte-scale storage and pipeline systems for high-throughput workloads.
  • Support accelerator-based model training through efficient data loading.
  • Collaborate cross-functionally while applying testing, CI/CD, and code review practices.

Requirements

  • 6+ years of data engineering experience, including significant work with ML or AI workloads.
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Strong Python skills and proficiency in at least one JVM or systems language.
  • Deep experience with Spark, Ray, or Beam.
  • Experience with distributed systems, data modeling, storage formats, dataset versioning, lineage, and reproducibility.
  • Must be authorized to work in the United States as a U.S. citizen, Green Card holder, EAD holder, or H-1B transfer candidate.

Nice to have

  • Experience with large-scale multimodal datasets and frontier model training pipelines.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving and regulated data systems.
  • Open-source contributions to data infrastructure projects.

Culture & Benefits

  • Full-time direct W-2 employment.
  • Remote work within the United States.
  • Career growth opportunities within an established organization.
  • Equal employment opportunity and a workplace free from harassment and discrimination.

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