Роль предлагает крутой AI-стек и работу в трендовом домене, но зарплата существенно ниже рыночной для такого уровня экспертизы в США.
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Низкая зарплатаСпецифика аутсорсингаСовременный стекТрендовый доменЧеткие задачи
Оценка от Hirify AI
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineering Specialist – 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 multimodal data, and improving training efficiency and model quality.
Location: 100% remote within the United States work-authorization framework
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
Build and operate large-scale data systems supporting AI training and evaluation pipelines.
Develop data ingestion and transformation workflows across diverse data modalities.
Implement data quality assurance, lineage, and high-throughput data delivery to training jobs.
Operate petabyte-scale storage and pipeline infrastructure.
Support machine learning workloads while improving training efficiency and model quality.
Requirements
6+ years of data engineering experience, including substantial work supporting ML or AI workloads.
Strong proficiency in Python and at least one JVM or systems language.
Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
Hands-on experience operating petabyte-scale storage and pipeline systems.
W2 employment only.
Applicants must hold an accepted U.S. work authorization status; new H-1B visa petitions cannot be sponsored.
Nice to have
Experience with large-scale multimodal datasets.
Familiarity with data quality tooling and dataset evaluation methodology.
Exposure to privacy-preserving data systems and regulated data handling.
Open-source contributions to data infrastructure projects.
Experience supporting frontier model training pipelines.
Culture & Benefits
Fully remote work arrangement.
Opportunity for career growth within an established technology consulting and software development organization.
Work across cloud, AI, data, and enterprise solutions.