Top Machine Learning Jobs in Montreal

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.

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.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

The Director of Enterprise Analytics leads the analytics team, focusing on strategic data insights, cross-functional collaboration, performance metrics, and team development to optimize revenue and improve operations.

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 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.

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