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ML Data Engineer (AI)

100 000 - 150 000$
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
ML Data Engineer (AI): Build and operate large-scale data systems powering AI training and evaluation pipelines with an accent on ingestion, transformation, data quality, lineage, and high-throughput delivery across diverse modalities. Focus on operating petabyte-scale systems, ensuring dataset reproducibility, and optimizing data infrastructure for model quality and training efficiency.

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global delivers cloud, AI, data, and enterprise solutions through technology consulting and software development services.

What you will do

  • Build and operate large-scale data systems for AI training and evaluation pipelines.
  • Develop ingestion, transformation, quality assurance, lineage, and reproducibility workflows.
  • Deliver high-throughput data to training jobs across diverse modalities.
  • Operate petabyte-scale storage and pipeline systems.
  • Collaborate cross-functionally on data infrastructure, model quality, and training efficiency.

Requirements

  • Must be located in the United States for this remote role.
  • Six or more years of data engineering experience, including significant work supporting ML or AI workloads.
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with Spark, Ray, or Beam; distributed systems; data modeling; and storage formats.
  • Experience with dataset versioning, lineage, reproducibility, high-throughput data loading, testing, CI/CD, and code review.

Nice to have

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

Culture & Benefits

  • Full-time direct W2 employment.
  • Fully remote work within the United States.
  • Career growth opportunities within an established organization.
  • U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petitions cannot be sponsored for this position.

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