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Vooban

Custom AI solutions for digital transformation

AI Scientist

Applied Machine LearningUpdated on Nov 10
Full-timeNo salary listed

About the Job

Requirements

  • Has at least 5 years of professional experience after completing studies.
  • Resides in Quebec and can travel to the Quebec City or Montréal offices a few times per year for team activities and in-person meetings.
  • Holds a master's or doctoral degree in AI or a related field.
  • Programs in Python.
  • Understands how AI works, not only how to apply it.
  • Has genuine interest in machine learning, deep learning, retrieval-augmented generation, large language models, natural language processing, computer vision, and robotics.

Responsibilities

  • Leads projects from end to end by defining the solution, carrying out the technical work (sometimes with other experts), planning the schedule and sequence, and staying within budget.
  • Explores data, experiments, searches for correlations, and retrieves information from complex environments.
  • Selects the best model or sequence of models for client needs and builds robust training pipelines to continuously improve models.
  • Trains and deploys models in the cloud and on edge devices.
  • Develops visualizations that clearly communicate results.
  • Works with other experts and directly with clients across Quebec and Ontario.
  • Works on multiple projects and business domains in parallel, including machine learning, deep learning, retrieval-augmented generation, large language models, natural language processing, computer vision, and robotics.

Desired Qualifications

  • Makes decisions effectively despite incomplete information.
  • Quickly understands client realities in unfamiliar domains.
  • Explains technical concepts clearly and enjoys advising clients.
  • Enjoys working outside their comfort zone.

About the Company

Vooban

Custom AI solutions for digital transformation

Vooban provides end-to-end, project-based AI-enabled digital transformation services for medium to large enterprises, integrating AI, data engineering, and software development. It does not build its own AI models; instead it selects commercially available models and customizes them for clients. The company differentiates itself through turnkey project delivery, practical integration of off-the-shelf AI models, cross-industry expertise, and a strong focus on ROI supported by partnerships and acquisitions. Its goal is to accelerate clients' digital transformation and raise operational efficiency across industries in North America.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Quebec City, Canada
Founded
2011

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