Top Machine Learning Jobs in Montreal

The Senior Machine Learning Engineer will develop value prediction systems, collaborate with stakeholders, and enhance model accuracy using various ML techniques.

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

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As a Staff Machine Learning Engineer, you will define technical strategies, design ML models for risk assessment, and build scalable ML systems.

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 Machine Learning Operations Specialist will deploy, manage, and monitor ML and AI models, enhance infrastructure, and troubleshoot performance bottlenecks.

The role involves building ML solutions for assessing cash flow risk, collaborating with teams on decision optimization, and utilizing diverse modeling techniques.

Lead the development of machine learning models and systems for intelligent customer support, focusing on chatbots and voice interfaces.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.

Develop and integrate machine learning solutions to assess cash flow risk and optimize decision-making processes across multiple products.

Drive risk management by building end-to-end AI/ML solutions, collaborating with cross-functional teams, and optimizing operations at Square.

This role involves building and managing AI/ML solutions for risk management, collaborating with teams, and providing technical leadership.

Join the Power Flow team to analyze power market datasets, develop predictive models, and automate data workflows using SQL and Python to enhance trading strategies.

The Senior C++ Programmer will develop ML applications, establish technical designs, collaborate with teams, and maintain ML systems in games.

Lead the design and implementation of AI initiatives for Edge devices, working with large datasets and optimizing ML model performance, while mentoring ML Engineers.

The Senior AI Research Engineer will develop AI-based solutions for cybersecurity, applying machine learning technologies to protect data and solve real-world problems within a collaborative team environment.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The role involves developing machine learning pipelines, prototyping MVPs, conducting market research, and leading a technical team.

Looking for a Full Stack Developer to design and implement a new forecasting platform with AI capabilities, focusing on user experience and strong back-end services.

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

The role involves co-founding a startup focused on computer vision and GANs, leading technical developments, and shaping the company's vision with a team of entrepreneurs and experts.

Lead fraud analytics and data science team, overseeing POCs and collaborating with cross-functional teams to reduce fraud while mentoring staff.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

As an Applied AI Researcher, you will develop innovative algorithms for multimodal data, collaborate with teams, and lead technology pioneering efforts.

Collaborate with stakeholders to develop and maintain AI/ML platforms, analyze existing systems, and support live systems while implementing CI/CD pipelines.