Top Machine Learning Jobs in Montreal

Develop and implement machine learning algorithms to analyze data, enhance AI models, collaborate with teams, and integrate solutions into production.

Lead systems and analytics oversight within the Compliance organization, focusing on risk management, data quality standards, and innovative risk detection methodologies.

The Senior Manager in Quantitative Analytics will develop modeling infrastructure, collaborate on analytics tools, and enhance data-driven loan performance models.

The Staff Data Scientist develops data models, leads analytics initiatives, mentors junior staff, and collaborates across teams to drive business insights and decision-making.

The role involves leading the scientific aspect of AI product delivery, collaborating with engineers, managing technical challenges, and enhancing data usability.

The Senior BI Manager leads the BI team to design, implement, and optimize data-driven solutions, focusing on strategic insights and advanced analytics.

As an AI Research Scientist at Autodesk, you will conduct applied research, develop ML models, lead global projects, and evaluate new AI/ML techniques.

The Hebrew Quality Control Specialist will perform quality checks on clinical research documents and ensure compliance and accuracy in translated materials.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

The ML Engineer will enhance AI systems for healthcare applications, collaborating with multidisciplinary teams and developing machine learning models and evaluations.

As a Machine Learning Researcher, you'll innovate telehealth care, collaborate on healthcare ML applications, publish research, and mentor interns.

As an Applied Scientist, you will automate ML workflows, partner with customers, transform research into production-ready solutions, and work independently to shape product direction.

As a Data Scientist, you will drive user growth through data-driven strategies, A/B testing, and process automation. You'll collaborate with cross-functional teams to enhance performance insights.

The role involves evaluating AI-generated texts for factuality, crafting/math-related questions, and ranking domain-specific responses.

Join Welo Data to work on AI projects involving language data tasks such as annotation, evaluation, and prompt creation. Flexibility to grow skills in a global community.

As a Machine Learning Engineer, you'll build and deploy ML models for banking, support data science efforts, and engage with product teams.

As a Senior Data Scientist, you will prevent fraud, optimize payment processes, and provide insights by leveraging data science and machine learning.

The Senior Risk Data Analyst develops metrics, conducts analyses for fraud reduction, builds ML models, and collaborates cross-functionally to provide data-driven solutions.

As a Senior Machine Learning Modeler, you will leverage AI and ML to detect and prevent fraudulent activity, optimize risk operations, and lead initiatives to implement scalable solutions.

The role involves designing, building, and improving data pipelines and tools for analyzing nELISA data, leveraging expertise in biosensors and software engineering to support R&D and Lab Operations teams.

The Data Associate will operate data pipelines, analyze nELISA data, build processing tools, and support teammates in molecular data analysis while ensuring data quality and effective communication.

Lead the fraud and risk data science team transforming risk data into real-time decisions. Manage POCs, optimize decision systems, and collaborate with various teams to enhance fraud prevention efforts.

Lead the design and integration of Generative AI solutions in Firefox, manage projects, optimize models, and collaborate with cross-functional teams.

Join Welo Data to support AI projects through data annotation, evaluation, and prompt creation. Flexible remote work on various language-focused tasks.

As a Research Intern, you will develop machine learning methods for biological data, conduct experiments, collaborate with a team, and present research findings.