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2 часа назад

AI Data Engineer

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
AI Data Engineer (AI/Data Infrastructure): Building and operating large-scale ingestion, transformation, quality, versioning, and delivery systems for multimodal AI training and evaluation pipelines with an accent on petabyte-scale data processing, lineage, privacy, and high-throughput loading. Focus on designing reproducible datasets, maximizing accelerator utilization, monitoring data quality and drift, and optimizing storage cost and performance.

Location: 100% remote within the United States

Salary: $100,000–$150,000 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

  • Design and operate large-scale data pipelines for AI training, evaluation, and continual improvement.
  • Build ingestion, cleaning, deduplication, filtering, and quality assurance systems for text, image, audio, video, and structured data.
  • Develop dataset versioning, lineage, provenance, evaluation, and contamination-control systems for reproducible ML workflows.
  • Build high-throughput data loading and storage architectures that balance GPU utilization, cost, throughput, and latency.
  • Implement labeling, active learning, human-in-the-loop, privacy, redaction, and consent-enforcement workflows.
  • Collaborate with ML researchers and engineers while driving observability, documentation, and operational improvements across data systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 10+ years of data engineering experience, including significant work supporting ML or AI workloads.
  • Strong Python proficiency and proficiency in at least one JVM or systems language.
  • Deep experience with Spark, Ray, or Beam, plus distributed systems, data modeling, and storage formats.
  • Hands-on experience operating petabyte-scale storage and pipeline systems, including ML dataset versioning, lineage, and reproducibility.
  • Strong software engineering practices, including testing, CI/CD, code review, communication, and cross-functional collaboration.

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 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 technology consulting and software development organization.

Hiring process

  • Submit a resume for consideration.
  • U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petition sponsorship is not available.

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