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2 месяца назад

Data Infrastructure Engineer (AI)

Тип работы
fulltime
Английский
b2
Страна
US/Canada
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

Data Infrastructure Engineer (AI): Building and maintaining fundamental data systems and infrastructure to power AI applications with an accent on large-scale data acquisition and multi-modal processing. Focus on optimizing storage and computation efficiency and productionizing AI model evaluation infrastructure.

Location: Must be based in Los Angeles, Palo Alto, San Francisco, or Toronto

Company

hirify.global is an AI company dedicated to making visual storytelling accessible to all through cutting-edge video generation technology.

What you will do

  • Design, build, and maintain the data infrastructure and systems required to support various AI applications.
  • Develop frameworks for large-scale data acquisition and multi-modal data processing.
  • Enhance storage and computation efficiency to support AI model scalability.
  • Build infrastructure for AI model evaluation and productionization.
  • Collaborate with data scientists and ML engineers to design efficient computational solutions.
  • Manage cloud resource budgeting and infrastructure expenses.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proven experience managing infrastructure for large-scale AI or machine learning projects.
  • Proficiency in Python.
  • Experience optimizing computational workflows.
  • Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch.
  • Must be located in Los Angeles, Palo Alto, San Francisco, or Toronto

Nice to have

  • Experience with GPU computing.
  • Experience with distributed data processing systems.
  • Experience building large-scale batch inference systems.
  • Prior experience in a startup or fast-paced tech environment.

Culture & Benefits

  • Competitive salary and comprehensive benefits package.
  • Dynamic, inclusive, and collaborative work environment.
  • Opportunities for professional growth and advancement.
  • Access to the latest technologies and tools in the AI field.
  • Culture that values innovation and creativity.

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