1

Senior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

Apply Early

Senior Data Scientist Montrรฉal, Canada The Sr. Data Scientist will conduct detailed analysis of ... Experience with developing Machine Learning and statistical models. * Excellent programming skills ...

Sr. Full Stack Data Science Engineer

Montreal, QC ยท On-site

CA$154K - CA$199K/yr

Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...

Experience in practical machine learning applications and development * Ability to develop ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

Experience in practical machine learning applications and development * Ability to develop ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

... engineers, and digital experts are all laser-focused on delivering real value to every client. We ... Designing and building end-to-end machine learning and statistical models that solve high-stakes ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

... analytics, machine learning, generative AI, agentic AI, and computer vision directly within ... Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ...

Apply Early

Design, develop, and optimize machine learning models for demand forecasting, inventory ... Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ...

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...

next page

Showing results 1-20

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 cities in Quebec are hiring for Senior Machine Learning Engineer jobs? Cities in Quebec with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Quebec as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Paytm Senior Software Engineer

AC780

Montreal, QC โ€ข On-site

Full-time

Posted 11 days ago


Job description

At Paytm Labs, we build technologies that powers Paytm India, the world's' fastest growing mobile payments and commerce ecosystem. In addition to, the Paytm Canada app. We use our skills and our biggest asset - data, to make our dent in this universe. We are committed to offering the most transparent, secure, and personalized consumer experience to over 230 million users. We believe that this kind of scale, and the unique problems that it presents attracts curious candidates like yourself.

Job Description:

Paytm Labs is looking for a Software Engineer to work on our personalization platform which generates over 3 billion recommendations every day. If building high throughput, low latency systems excites you, then read on!
Our ideal candidate is a problem solver and a learner at heart. You should have a very high degree of comfort in a programming language of your choice. We offer a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you.

Responsibilities:

  • Design large scale systems with high complexity to support our high throughput applications.
  • Understand how to leverage infrastructure for solving such large scale problems.
  • Work with our machine learning engineers to put cutting edge deep learning algorithms in production.
  • Develop tools and contribute to open source wherever possible.
  • Adopt problem solving as a way of life - always go to root cause! Support the code you write in production.

Qualifications:

  • Strong fundamentals in data structures, algorithms and object oriented programming.
  • In-depth understanding of concurrency and distributed computing.
  • Software development experience in one or more general purpose programming languages, preferably Scala.
  • Experience writing concurrent, distributed applications using frameworks like Akka.
  • Experience with NoSQL databases and distributed cache.
  • Interest and ability to learn other coding languages as needed.
  • Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.

Preferred Qualifications:

  • Experience with one or more general purpose programming languages, including but not limited to Scala, Java.
  • Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.
  • Experience with AWS services.
  • Contribution to open source projects.

What We Offer:

  • We are proud to announce that we have been certified as a Great Place to Work for 2 years in a row!
  • A collaborative, open work environment that fosters ownership, creativity, and urgency
  • Enrolment in the Group Health Benefits plan right from Day 1, no waiting period
  • We believe in hard work, fun innovation and team building - we've gone to escape rooms, bowling, indoor rock climbing, and go-karting (to name a few!)
  • All types of snacks in the office to ensure that you're well fed!
Employment Type: FULL_TIME