Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
114к-153к CAD/год
150к CAD190к CADмедиана210к CAD
По похожим ролям (48) ~ 190к CAD/год
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
79
Хорошая вакансия
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Понятная senior-роль с ответственностью за AI-системы в продакшене и актуальными задачами, но обязательные три дня в офисе снижают гибкость.
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Ниже рынкаАктуальные AI-технологииПонятная зона ответственностиТри дня в офисеAI в HR-платформе
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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