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5 часов назад

Senior Manager, Data Science (AI)

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

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TL;DR

Senior Manager, Data Science (AI): Leading the development and delivery of AI-driven product capabilities with an accent on scalable inference pipelines, predictive analytics, and real-time data processing. Focus on building high-performing teams, bridging technical and business strategy, and ensuring robust MLOps practices for production-ready AI solutions.

Location: Must be based in or able to work from the Mississauga, Ontario office (Hybrid)

Company

hirify.global is a global leader in mobile and IoT management solutions, serving over 17,000 enterprise customers worldwide with innovative mobility management software.

What you will do

  • Lead the design, development, and deployment of AI and machine learning systems, including scalable pipelines for inference and real-time processing.
  • Collaborate with product and engineering teams to solve product challenges using predictive analytics and user behavior modeling.
  • Oversee hands-on prototyping and experimentation to validate AI solutions and translate insights into product strategy.
  • Establish and enforce best practices for AI operations, including data quality and model monitoring.
  • Mentor and grow a high-performing team of data scientists and engineers, fostering a culture of ownership and product-oriented thinking.
  • Contribute directly to code and system architecture to ensure production-ready, cloud-integrated solutions.

Requirements

  • Advanced degree in computer science, data science, statistics, or equivalent practical experience.
  • 8+ years of experience in data science, machine learning engineering, or applied AI roles.
  • 4+ years of experience managing and mentoring teams of data scientists and developers.
  • Strong hands-on programming skills in Python and SQL.
  • Experience building and deploying models and data pipelines in cloud environments like AWS or Azure.
  • Solid understanding of MLOps, scalable data architectures, and production deployment patterns.

Culture & Benefits

  • Work with leading-edge technologies and collaborate with global tech giants.
  • Fast-paced, innovative environment that encourages personal growth and fresh perspectives.
  • Opportunity to make a measurable impact on a global product used by millions of devices.
  • Collaborative and agile team culture focused on continuous innovation.

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