Top AI Jobs in Toronto

The role involves analyzing large datasets using advanced algorithms, developing predictive models, collaborating with teams, and providing insights for business decisions.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

The Principal Technical Consultant (AI) provides technical expertise for customer engagements, designs AI solutions, and ensures successful AI system implementations on the ServiceNow platform.

As a Senior Engineer, you'll enhance Braze's AI decisioning solutions, rebuild applications in React, support development in TypeScript, and integrate with APIs to provide user insights.

The Principal oversees end user computing strategy, leads implementation of IT solutions, ensures compliance with standards, and mentors teams on technology health and user experience.

Oversee monitoring and analysis of digital media campaigns, provide insights, optimize media performance using AI and ML, and manage budget.

The UX Researcher will lead AI-enhanced experience research initiatives for Block's brands, translating insights into strategic recommendations and collaborating with teams to shape AI product integration.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

As an Account Executive at Feedzai, you will lead end-to-end sales processes, develop consultative relationships, and drive adoption of AI solutions in the financial services industry, specifically targeting fraud and AML solutions.

The Principal Architect will provide strategic direction for technology solutions, enhance efficiency, and collaborate with stakeholders to align technology and business strategies, focusing on CCRS and GSS.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

Manage multiple projects and workstreams for customer implementations, coordinating cross-functional teams, and ensuring successful product onboarding and delivery.

As a Senior Field Data Scientist at Braze, you'll collaborate with customers on data integrations, improve product capabilities, refine algorithms, and provide technical expertise for customer success in AI deployment.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

As a Senior Forward-Deployed Data Scientist, you will collaborate with customers on data integrations, enhance product architecture, and advance machine learning algorithms while ensuring successful adoption and outcomes.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The role involves designing and deploying AI automation in the platform, focusing on LLMs to enhance operational workflows and user experience.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.