Top AI Jobs in Toronto

As a Telerobotics Operator, you will operate robots, collect data, troubleshoot issues, and help improve AI systems in dynamic environments.

The Senior Full-Stack Engineer is responsible for building and maintaining platforms for AI training through front-end and back-end development, driving system performance, ensuring reliability, and collaborating with teams to enhance product capabilities.

Develop and enhance AI-driven discovery products by integrating various content sources, and optimize recommendation systems with machine learning models.

The AI Machine Learning Engineer will architect and build personalization models for user experience, involving DNN and LLM technologies, while collaborating with product managers to deliver high-quality outputs.

As a Full Stack Engineer on the AI Decisioning team, you will develop intuitive interfaces for non-technical users, integrating ML models and offering insights to enhance marketing strategies. You will collaborate with cross-functional teams to architect and build robust marketing products.

Build and implement a comprehensive post-training framework for large language models with a focus on scaling and integration into products.

The AI Decisioning Solutions Consultant educates enterprises on AI Decisioning benefits, scopes use cases, and manages the PoC process while showcasing custom demos.