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3 часа назад

Data Scientist (AI Deployment)

112 000 - 168 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/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

Data Scientist (AI Deployment): Designing and building end-to-end machine learning solutions for 1-to-1 personalization with an accent on ML pipeline ownership and customer-facing technical guidance. Focus on refining reinforcement learning algorithms and shaping the hirify.globalAI product strategy.

Location: Hybrid in Toronto, Ontario

Salary: CA$112,000 - CA$168,000 per year

Company

hirify.global is a leading customer engagement platform that leverages AI to empower brands to deliver personalized, 1:1 customer experiences.

What you will do

  • Design and scope ML use cases from the ground up to optimize real business value for global brands.
  • Build and own the full ML pipeline, managing raw data transformation, model training, and activation.
  • Provide ongoing technical guidance to customers to ensure model performance and successful adoption.
  • Develop features and tools to scale capabilities for the broader AI deployment team.
  • Partner with the Product team to refine and advance reinforcement learning algorithms.
  • Shape the hirify.globalAI product strategy and roadmap using customer-facing technical insights.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
  • 3–5+ years of hands-on experience as a Data Scientist or ML Engineer in production environments.
  • Proficiency in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
  • Strong SQL skills for querying and manipulating large-scale datasets.
  • Experience with engineering best practices including Git, CI/CD, and testing frameworks.
  • Must be based in or able to work hybrid in Toronto, Ontario.

Nice to have

  • Experience with DevOps tools such as Airflow, Kubernetes, Terraform, or GCP.
  • Expertise in data integration/ETL and pipeline optimization.
  • Experience with reinforcement learning algorithms.

Culture & Benefits

  • Competitive compensation package including equity grants (RSUs).
  • Comprehensive health benefits covering medical, dental, vision, life, and disability.
  • Flexible paid time off and retirement/Employee Stock Purchase Plans.
  • Professional development via a yearly learning stipend and formal career pathing.
  • Family services, including fertility benefits and equal paid parental leave.
  • Collaborative and transparent culture recognized as a Great Place to Work®.

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