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22 часа назад

Platform Engineer (AI)

140 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Platform Engineer (AI): Building and running shared AI platform infrastructure, including CI/CD pipelines, testing, deployment, monitoring, and reusable components with an accent on production AI systems, cloud infrastructure, and platform standards. Focus on provisioning environments, deploying models and agents, implementing infrastructure as code, and maintaining security-aware platforms across AWS and Azure.

Location: Chicago, United States — 550 Van Buren

Salary: $140,000–$170,000 USD annually. Total estimated compensation including annual incentive compensation: $161,000–$218,750 USD.

Company

hirify.global is a global consulting organization that helps clients drive growth, improve business performance, and implement transformative strategies and solutions.

What you will do

  • Build and operate CI/CD pipelines with automated testing across AI delivery pods.
  • Provision and manage the environments used to develop and run AI systems.
  • Deploy and monitor production models and agents.
  • Define technical and security standards for platform development.
  • Build reusable platform components so new delivery pods can start from established foundations.

Requirements

  • 5–8 years of experience in ML or AI platform engineering or MLOps, including 1–2 years of leadership experience.
  • Hands-on experience running AI systems in production.
  • Experience with AWS, Azure, Docker, Kubernetes, and infrastructure as code.
  • Strong Python skills.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to have

  • Experience building internal developer platforms.
  • Experience with AI testing and production monitoring.
  • Healthcare or higher education experience with awareness of HIPAA or FERPA data-security requirements.
  • AWS Machine Learning or DevOps certification, Azure AI-102 certification, or Kubernetes CKA certification.

Culture & Benefits

  • Full-time employment within hirify.global’s corporate team.
  • Medical, dental, and vision coverage.
  • Wellness programs and other employee benefits.
  • Eligibility for hirify.global’s annual incentive compensation program.

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