Top AI Jobs in Toronto

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 Associate Consultant will manage CLM implementation projects, develop strategic roadmaps, and optimize CLM services for corporate clients, focusing on client advisory and technology assessments.

Develop and optimize C++ code for camera systems, implementing AI models and algorithms for real-time video analysis. Collaborate with AI/ML engineers and maintain system performance.

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

The Principal Data Engineer will lead modernization of data platforms, drive ETL development, ensure data governance, and collaborate with cross-functional teams.

The Legal Counsel will handle commercial matters, draft agreements, negotiate complex transactions, and ensure compliance with legal requirements in a fast-paced healthcare tech environment.

The role involves designing and maintaining internal tools and APIs, primarily focusing on backend systems but also contributing to frontend code. The engineer collaborates with AI and infrastructure teams, leads technical initiatives, and enhances developer-facing interfaces.

As a Senior Product Manager, you will lead the transformation of the AI-assisted website builder, including strategy, roadmap, execution, testing, and rollout, to enhance real estate website creation using the latest AI technology.

Seeking a Senior Software Developer to design and develop full-stack applications, mentor developers, and drive architectural innovation for SOTI XSight.

The Claims Enablement Specialist drives innovation in claims processing, collaborates across teams, analyzes performance metrics, and supports strategic improvements.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

The Principal, AI Models will develop and scale small language models for healthcare, leading data curation, safety alignment, and model serving strategies. They will mentor a team and ensure ethical AI practices while collaborating across teams.

The Supply Operations Manager will oversee the performance and capacity of Calico's global factory network, utilizing data analysis to optimize sourcing strategies and maintain compliance across suppliers.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

Join Tucows as an AI-focused Software Engineer to build AI-driven features, integrate open-source models, and innovate domain services.

The Systems Developer is responsible for developing and supporting AI-driven application solutions while ensuring effective implementation across business units.

The Director will operationalize Canada's AI strategy, ensuring governance, compliance, and operational excellence for AI initiatives, while managing resources and vendor relationships.

The AVP, AI Transformation will implement the AI strategy, lead enterprise-scale programs, and drive AI integration into business processes. Responsibilities include aligning AI initiatives with strategic goals and managing cross-functional collaboration.

The intern will help develop AI solutions for risk management, collaborate with business users, and apply data science and software engineering skills.

The intern will develop AI solutions for risk management, working with data science and software engineering while collaborating with business users.

This internship involves developing AI solutions for risk management, requiring collaboration with business users to translate needs into technical problems, while utilizing machine learning and deep learning techniques.

The Senior AI Engineer will drive innovation and implement cloud capabilities, building GenAI solutions for contact centers while mentoring junior engineers.