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4 дня назад

Vice President, AI/ML

200 000 - 310 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
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
Vice President, AI/ML (ML Engineering): Leading the ML engineering organization and building production ML systems and platforms from data pipelines and feature engineering through model deployment and monitoring, with an accent on MLOps maturity, infrastructure, and scalable model serving. Focus on hiring and developing engineering teams, designing reliable end-to-end systems, and solving latency, monitoring, reproducibility, and cost challenges at scale.

Location: United States · Remote

Salary: $200K–$310K annually

Company

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

What you will do

  • Lead the ML engineering organization, including hiring, mentoring, retention, and technical standards.
  • Own the design and execution of ML systems and platforms spanning data pipelines, feature engineering, deployment, and monitoring.
  • Drive infrastructure and tooling decisions for model training, experimentation, and production serving.
  • Partner with product, data science, and analytics teams to translate business requirements into production ML solutions.
  • Build and scale MLOps practices covering governance, reproducibility, model versioning, and incident response.
  • Manage the technical roadmap and resource allocation while representing ML engineering in cross-functional leadership discussions.

Requirements

  • 8+ years of hands-on ML engineering or machine learning systems engineering experience, including at least 3 years in a leadership or principal-level role.
  • Deep proficiency in model training, feature engineering, deployment pipelines, MLOps tooling, containerization, and production serving frameworks.
  • Experience building and leading ML engineering teams of 5–15+ people, including hiring, coaching, and talent development.
  • Ability to design and own complex systems end-to-end while balancing technical rigor with business pragmatism.
  • Strong communication and stakeholder management skills, including the ability to translate between technical and business contexts.
  • Experience scaling production ML systems for latency, reliability, monitoring, and cost.

Culture & Benefits

  • Permanent remote position based in the United States.
  • This posting is for future opportunities; applications are added to the candidate network for consideration when relevant roles arise.

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