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Product Manager Machine Learning Jobs in Quebec (NOW HIRING)

Development Senior Manager - Machine Learning We are looking for an experienced and visionary ... delivers impactful, production-grade systems that shape the future of SAP's AI offerings.

... production * Experience avec des plateformes d'AA infonuagiques ou des solutions de donnees ... Experience in wealth management or financial services (preferred but not required) * Familiarity ...

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Product Manager Machine Learning information

See Quebec salary details

$27K

$136.8K

$236K

How much do product manager machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for product manager machine learning in Quebec is $136,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $169,000.00 per year, depending on experience, location, and employer.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What job categories do people searching Product Manager Machine Learning jobs in Quebec look for? The top searched job categories for Product Manager Machine Learning jobs in Quebec are:
Infographic showing various Product Manager Machine Learning job openings in Quebec as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $136,798 per year, or $65.8 per hour.

Machine Learning Engineer (BFSI) - MLEBAS

NavitasPartners

Montreal, QC • On-site

$30/hr

Other

Posted 5 days ago


Job description

Job Title: Machine Learning Engineer (BFSI)

Position Overview:
The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.

Key Responsibilities:

  • Develop machine learning models and pipelines.
  • Build feature engineering frameworks.
  • Deploy production-grade ML solutions.
  • Optimize model performance and scalability.
  • Collaborate with data scientists and business teams.
  • Implement model monitoring and governance.

Required Skills:

  • Python
  • Machine Learning
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Spark ML
  • Feature Engineering
  • Model Deployment
  • SQL

Required Qualifications:

  • Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
  • 5+ years of machine learning experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.


For more details reach at resumes@navitassols.com