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23 часа назад

Data Scientist III (AI)

114 200 - 152 750CAD
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

Текст:
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TL;DR
Data Scientist III (AI): Building and deploying production-grade data science and AI capabilities for workforce management and human resources products with an accent on generative AI, RAG systems, large-scale machine learning, and end-to-end MLOps. Focus on designing scalable production pipelines, managing model lifecycles, measuring business impact, and mentoring junior data scientists.

Location: Montreal, Quebec, Canada; work from the Montreal office three days per week.

Salary: CAD 114,200–152,750 annually, plus potential performance-based bonus and restricted stock units.

Company

hirify.global provides a workforce operating platform with workforce management, human resources, and people-first AI capabilities.

What you will do

  • Design, develop, and deploy production-grade data science and AI solutions across hirify.global products using large-scale workforce and HCM data.
  • Build generative AI applications, RAG systems, agentic workflows, and end-to-end ML/AI pipelines.
  • Own model validation, deployment, monitoring, iteration, reliability, performance, and maintainability.
  • Create evaluation frameworks for model quality and measurable business impact.
  • Write modular production code and collaborate on CI/CD, observability, scaling, and SaaS integrations.
  • Mentor junior data scientists through code reviews, model reviews, and modeling best practices.

Requirements

  • Master’s degree or PhD in a quantitative field, or equivalent industry experience.
  • Strong knowledge of statistical modeling, experimentation, and evaluation frameworks.
  • Deep expertise in one or more areas including NLP, deep learning, time series, or clustering.
  • Hands-on experience building services and solving problems with LLMs and generative AI techniques.
  • Proven experience implementing and deploying machine learning models in production.
  • Strong proficiency in Python, including pandas, scikit-learn, and PySpark; SQL/BigQuery; and version control.
  • Experience building and maintaining production data pipelines and large-scale MLOps workflows.
  • Hands-on experience with cloud ML infrastructure such as AWS, GCP, or Azure, and integrating models into SaaS applications.
  • Ability to work independently, think strategically, execute projects, influence others, and communicate effectively across organizational levels.
  • French is required for Quebec roles, and English is also required.

Culture & Benefits

  • Collaborative work with AI, product, engineering, and domain teams.
  • Flexible work environment and benefits provided by hirify.global.
  • Performance-based bonus eligibility and potential restricted stock unit awards.
  • Inclusive workplace and equal employment opportunity commitment.
  • Disability accommodations are available during the application and interview process.

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