Top AI Jobs in Vancouver

The Junior AI Engineer will design, develop, and deploy machine learning models, maintain ML pipelines, and collaborate with teams to tackle problems.

As an AI Application Engineer, you will customize GenAI applications, analyze customer data, deploy solutions at scale, and ensure integration and performance improvement, collaborating with teams and clients alike.

Develop and deploy machine learning models, create APIs for AI inference, improve system reliability, and manage infrastructure efficiently.

Seeking a Senior Data Engineer to build and maintain scalable ETL pipelines for AI development, collaborating with cross-functional teams to optimize manufacturing processes.

The role involves developing dynamic user interfaces for AI products, optimizing applications, creating reusable components, and collaborating with the AI team.

Lead design and implementation of a copilot framework for chatbot AI, enhance internal copilot capabilities, and address system bottlenecks while collaborating with stakeholders.

The Senior AI/ML Engineer will design and maintain machine learning algorithms, collaborate with engineering teams, implement CI/CD pipelines, and develop RESTful APIs while advocating for team decisions in a regulated environment.

The AI Infrastructure Engineer II will design, build, and maintain cloud infrastructure for AI and ML workloads, utilizing tools such as AWS, Docker, and Kubernetes. Responsibilities include developing CI/CD pipelines and ensuring system performance.

The Staff AI Infrastructure Engineer will design and maintain scalable cloud infrastructure for AI/ML, lead technical discussions, mentor juniors, and optimize deployment processes for operational efficiency.

Join WEX's AI Infrastructure team to design and maintain cloud infrastructure for AI solutions, using AWS, Azure, Docker, and Kubernetes, and gain hands-on experience in a collaborative environment.

As a Senior AI/ML Engineer, you'll design and maintain machine learning algorithms, collaborate on CI/CD, and integrate AI solutions within systems.

As a Senior AI Infrastructure Engineer, you will design, implement, and maintain cloud infrastructure for AI/ML workloads, manage containerization and orchestration, optimize CI/CD pipelines, and mentor junior engineers.

The role involves training AI language models by evaluating code, crafting computer science questions, and providing coding expertise in Polish.

The Full Stack Engineer will develop and maintain AI/ML applications, collaborate with teams for integration, optimize performance, and contribute to architecture and strategy.

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.