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3 дня назад

Director of Engineering (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Director of Engineering (AI/ML): Develop and execute engineering strategy emphasizing ML/MLOps and core software practices to support product vision with an accent on system architecture, API design, data processing, and scalable infrastructure. Focus on integrating ML lifecycle with CI/CD pipelines, Kubernetes automation, and fostering excellence in software development and team leadership.

Location: Hybrid. Must be able to meet in Hicksville, Long Island twice a week

Company

10+ year old AI company delivering state-of-the-art AI products and solutions to diverse industries, with presence in four countries and 400+ full-time employees.

What you will do

  • Develop and execute strategy balancing ML/MLOps advancements and core software engineering to enhance product capabilities.
  • Oversee development, scaling, and optimization of ML platform and software foundations including architecture, APIs, data processing, and infrastructure.
  • Guide ML model development, deployment, monitoring, and management integrated with CI/CD and Kubernetes.
  • Champion software best practices in design patterns, code quality, security, and performance.
  • Build, mentor, and lead distributed teams of software, ML, and data engineers.
  • Bridge ML/MLOps and software teams, collaborating with product, UX/UI, and stakeholders for high-quality delivery.

Requirements

  • Must be able to meet in Hicksville, Long Island twice a week
  • At least 5 years technology experience, including leadership in ML/MLOps and software engineering teams.
  • Deep expertise in enterprise software architecture, design patterns, modern languages, ML algorithms, data modeling, MLOps across AWS, Azure, GCP.
  • Proven leadership to inspire multidisciplinary teams with strategic vision balancing short- and long-term goals.
  • Excellent communication and collaboration skills across teams and business units.
  • Advanced degree in Computer Science, Engineering, or related field with AI/ML and software background.

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