обновлено 4 дня назад
Data Engineering Specialist – AI
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
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