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9 часов назад

Senior Machine Learning Engineer (AI)

140 000 - 180 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/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 Machine Learning Engineer (AI) (Deep Learning/ML Platform): Productizing sophisticated AI models and engineering scalable machine learning systems for content personalization with an accent on neural network architectures, model optimization, and reliable production deployment. Focus on building high-performance inference pipelines, advancing monitoring and orchestration, and translating AI research into measurable business growth.

Location: Toronto, Canada (remote)

Salary: CAD$140,000–180,000 yearly, with possible additional bonus and benefits.

Company

hirify.global provides data-activated content generation and AI decisioning solutions that help global brands personalize marketing content, increase revenue, and improve workflow efficiency.

What you will do

  • Deploy commercial-grade AI products and integrate research innovations into the core AI model suite.
  • Engineer scalable, high-performance machine learning systems with strong reliability.
  • Advance the ML Platform through monitoring, workflow orchestration, artifact versioning, automated testing, and evaluation.
  • Optimize and fine-tune AI models for high-performance inference at scale.
  • Deliver AI-driven insights and models that support client adoption and measurable business growth.
  • Guide and mentor junior engineers while collaborating with non-technical and cross-functional stakeholders.

Requirements

  • 5+ years of experience in AI/ML development, including deep learning systems and model pipelines.
  • Master’s degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
  • Deep expertise in neural networks, including transformers, computer vision, natural language processing, and multimodal learning.
  • Advanced proficiency in PyTorch or TensorFlow and strong Python skills.
  • Experience designing production ML systems with workflow orchestration, online/offline evaluation, performance monitoring, and A/B testing.
  • Knowledge of statistical modeling, predictive analytics, recommender systems, and propensity scoring.

Nice to have

  • Experience with Spark and Google Cloud Platform.
  • Ability to implement and adapt state-of-the-art research papers.
  • Experience productizing AI research into commercial-grade deep learning models.

Culture & Benefits

  • Remote role based in Toronto.
  • Medical, financial, and other benefits are provided.
  • Fast-paced, deadline-driven environment focused on continuous learning and high-quality solutions.
  • Inclusive workplace committed to diversity and equal employment opportunity.

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