Назад
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4 часа назад

AI Engineering Manager

200 000 - 350 000$
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 Engineering Manager (AI/ML): Leading teams that build and operate production AI/ML systems, including model training pipelines, inference infrastructure, monitoring, and scalable data platforms with an accent on hands-on engineering, technical leadership, and reliable deployment. Focus on designing model-serving architectures, addressing model drift and data-quality risks, and scaling engineering processes without sacrificing code quality.

Location: United States · Remote

Market compensation: $200,000–$350,000 annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Lead and grow an AI engineering team through hiring, mentoring, and technical standard-setting.
  • Own delivery of AI/ML systems from exploration through production, including training pipelines, inference infrastructure, and monitoring.
  • Partner with product and data science teams to turn business requirements into technical roadmaps and priorities.
  • Drive architecture for scalable data pipelines, model serving, experiment tracking, and observability.
  • Build engineering processes for model-driven development, including code reviews, testing, and deployment practices.
  • Identify production risks such as model drift, data-quality issues, and performance degradation, and communicate tradeoffs to stakeholders.

Requirements

  • 5+ years of hands-on AI/ML engineering experience, including at least 2 years in a leadership or senior technical role.
  • Production experience shipping AI systems such as model-serving platforms, inference optimization, or data pipelines.
  • Strong Python skills and familiarity with PyTorch, TensorFlow, or equivalent AI/ML frameworks.
  • Experience with MLOps tooling and technical team leadership or mentoring.
  • Ability to remain hands-on while making strategic AI engineering decisions and validating technical approaches.

Culture & Benefits

  • Candidate-network opportunity for future AI engineering leadership roles rather than one specific current opening.
  • Work focused on balancing rapid iteration, system reliability, engineering quality, and business outcomes.
  • Access to job-market tools and data covering AI transformation roles, salaries, skills, and hiring trends.

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