Top Machine Learning Jobs in Montreal

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

The Senior Economist will develop and enhance predictive modeling systems, leveraging ML to support strategic initiatives across departments, enhancing decision-making processes with data-driven insights.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

The Senior Manager will lead data analytics and operations for revenue, optimizing strategies across sales, marketing, and finance. They'll develop insights and forecasts to inform decision-making and improve efficiency, while mentoring a team and driving AI initiatives.

Responsible for designing and implementing fraud controls, monitoring risk performance, analyzing fraud typologies, and collaborating with cross-functional teams to mitigate risks.

Design and develop data pipelines and tools to analyze nELISA data, collaborating with science and engineering teams to improve data processing algorithms.

The Lead Data Scientist will oversee complex data science projects, develop and mentor a team, and enhance ML solutions, focusing on cybersecurity applications.

As a Senior Data Scientist, you'll develop analytical solutions, focusing on performance marketing, player incentive systems, and driving strategic projects through data insights.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Design and improve data pipelines for machine learning in AdTech, collaborate on data solutions, manage large data sets, and mentor junior engineers.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

As a Senior MLOps Engineer, you will enhance ML model training automation, collaborate with data teams, and monitor deployed model performance to ensure quality and security against emerging threats.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.