Top AI Jobs in Montreal

The role involves leading the implementation of advanced manufacturing technologies, collaborating across teams, and enhancing production processes. Key responsibilities include project management, technology deployment, and stakeholder communication.

The Senior Software Engineer will build core services and SDKs for production-grade systems, lead projects enhancing tools, and collaborate cross-functionally.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

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

Design and build AI-powered experiences for Dropbox, collaborating across teams to integrate AI features and simplify user processes. Engage in production delivery and on-call service.

The role involves designing and building AI-powered experiences in Dropbox, collaborating across teams, and shipping features to enhance user interactions.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

As an Intermediate Backend Engineer at GitLab, you will develop AI capabilities, collaborate in an agile environment, maintain code quality, and support the team with troubleshooting. Experience in Python and knowledge of AI technologies is essential.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

Gameloft is seeking a passionate AI Programmer to design AI systems for a cutting-edge PC/Console game, collaborating on gameplay mechanics and code optimization.

Lead and manage the Focal engineering team focused on AI-powered insights. Oversee software development, technical strategy, and ensure the platform's scalability and security.

Seeking a versatile Senior Software Developer to enhance AI infrastructure via infrastructure-as-code practices, manage cloud services, and collaborate for best solutions across teams.

Architect and develop AI-powered systems, create knowledge graphs, implement data pipelines, and enhance language parsing capabilities.

Develop and refine AI-powered technology for autonomous driving applications, focusing on C++ coding, performance optimization, and teamwork in a production environment.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Senior AI Modeling Engineer, you will develop and implement AI models, mentor junior engineers, and collaborate on platform development using Python APIs and modern deep learning architectures.

As an AI Software Engineer, design and develop AI-driven features for domain services using Python and Golang. Collaborate with stakeholders and utilize open-source models.

As a Senior AI Applied engineer, you'll shape Vanta's AI strategy, improve systems, and collaborate with teams to implement and maintain AI infrastructure and tools, focusing on leveraging LLM models for enhanced products.

As a Software Developer, you will design and develop data pipelines for AI solutions, collaborating with teams on scalable distributed systems and ensuring software quality through tests and reviews.

The role involves building end-to-end distributed LLM inference deployments, collaborating on features, and developing scalable ML infrastructure tools.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Develop and deploy AI-powered applications using LLMs, ensuring integration with web apps, performance optimization, and collaboration with cross-functional teams.

Develop and enhance Autodesk's AI/ML platform by designing systems, automating processes, and ensuring scalable deployment of machine learning solutions, collaborating with cross-functional teams.