Top AI Jobs in Toronto

The Senior AI Engineer at Lightci will lead the design, development, and deployment of AI-powered solutions for CRM platforms, integrating AI features across front-end and back-end systems, developing APIs, ensuring scalability and reliability of AI systems, and driving continuous improvement through data analytics.

The job involves providing coding expertise to assist in training AI models by crafting questions, evaluating code generated by AI, and ensuring attention to detail. Candidates are expected to work flexibly and remotely, contributing to innovative projects.

The Senior AI Engineer will build applications focusing on GenAI solutions, working collaboratively with a distributed team. Responsibilities include implementing innovative AI applications, conducting code reviews, ensuring communication and quality standards, and refining the GenAI strategy while navigating ambiguity in a growing startup.

As a Senior Software Developer, you will develop, test, and deploy high-performance Generative AI systems for the telematic industry, focusing on Large Language Models. Responsibilities include driving the project lifecycle, ensuring system scalability and robustness, and collaborating with cross-functional teams to integrate AI solutions into products.

Seeking a Sr. Software Engineer with expertise in compilers and semiconductor technology to design, develop, and optimize compilers for cutting-edge semiconductor products. Responsibilities include developing machine learning graph compiler, optimizing performance of machine learning applications, integrating software into machine learning frameworks, and collaborating with machine learning engineers.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.

The AI Solutions Consultant will work closely with the sales team, guiding clients on utilizing AI Decisioning effectively, and developing technical content. Responsibilities include understanding customer pain points, executing technical projects, and advocating for customer needs within the company.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.

The role involves leading the design and implementation of AI systems within Unreal Engine 5, enhancing gameplay experiences through innovative AI strategies, and mentoring team members while managing project tasks and deliverables.