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Senior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

LawZero

Senior ML Research Scientist

Montreal, QC

We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a ... Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ...

SurveyMonkey

$126.40 - $158/hr

Senior Software Engineer II - Machine Learning Platform We are seeking a Senior Software Engineer II to design and implement secure, highly scalable, and high‑performance pipelines for the ...

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · Remote

... As a Senior ML Developer on the team, you will be responsible for leading/contributing to the ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

New

Kinaxis Inc.

$100 - $130/hr

In 1984, we started out as a team of three engineers. Today, we have grown to become a global ... What you will do Bring deep expertise in machine learning and applied AI, and you are energized by ...

LawZero

Senior Distributed ML Engineer

Montreal, QC

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...

Giesecke+Devrient

Senior Data Scientist

Montreal, QC · On-site

The ideal candidate will combine strong expertise in machine learning, statistical modeling ... Work closely with engineering teams to productionize models and analytical pipelines * Ensure ...

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Senior Machine Learning Engineer information

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Quebec? For Senior Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Senior Machine Learning Engineer jobs in Quebec are:
What cities in Quebec are hiring for Senior Machine Learning Engineer jobs? Cities in Quebec with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Quebec as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Software Developer - Machine Learning Platform

Coveo

Montreal, QC

Other

Posted 7 days ago

Job description

Build the backbone of AI at scale

Want to see your work power millions of machine learning predictions every day? Join our Machine Learning Platform team and help bring models, including Large Language Models (LLMs), into production in a reliable and scalable way.

You'll contribute to a platform that trains thousands of models and serves hundreds of millions of  queries daily, while growing your expertise in distributed systems, machine learning infrastructure and agentic workflows.

As a Backend Developer, you will:
  • Contribute to the development lifecycle, including coding, testing, and deployment
  • Analyze and help improve the ease of use, observability and reliability of our AI platform
  • Participate in maintaining services handling millions of requests and LLM calls per day
  • Collaborate with applied scientists, data engineers, and developers to integrate agentic applications into production
  • Contribute to evolving our AI platform to support the growth and scale of agentic workflows for Coveo users
  • Suggest improvements to existing processes and use AI coding tools to support your development workflow
Here is what will qualify you for the role:
  • 5+ years of experience in backend development in a cloud environment (Python or Java/Spring preferred, AWS an asset)
  • Good understanding of distributed systems and scalable application design
  • Ability to solve problems and debug systems with guidance when needed
  • Comfortable learning new tools, technologies, and best practices
What will make you stand out:
  • Familiarity with Terraform, AWS Bedrock, OpenSearch serverless or other vector databases, LiteLLM or other LLM inference gateways
  • Exposure to machine learning workflows or agentic workflows
  • Interest in scalable backend services, large-scale realtime systems, agentic workflows and applications or realtime inference at scale


You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

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