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.

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 role involves developing and implementing machine learning solutions for risk management, collaborating with cross-functional teams to ensure a balance between financial and customer needs.

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

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

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

Conduct quality monitoring of AI chatbot responses, resolve issues, optimize models, analyze data, and improve quality-control processes.

The Senior Business Intelligence Manager leads the BI team, focusing on data-driven strategy and advanced analytics, involving AI and machine learning.

The Senior Business Intelligence Manager leads BI initiatives to optimize data solutions, enhance strategic decision-making, and implement advanced analytics within the organization.

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.

As a Senior BI Developer, you will analyze complex datasets, design BI solutions, create impactful reports, and collaborate to enhance decision-making across Unity's ad ecosystem.

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 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.

The Principal Machine Learning Engineer will lead ML initiatives, develop models, and maintain ML infrastructure for Zynga's games while collaborating with data scientists.

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