Top AI Jobs in Vancouver

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

Drive AI projects end to end, collaborate with teams to develop AI applications, and establish best practices for AI deployment.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.

The Staff Machine Learning Engineer will build and evaluate large-scale machine learning systems, collaborate with scientists, and mentor others in software engineering best practices.

As a Staff Data Architect Engineer, you'll collaborate with teams to architect, build, maintain, and optimize data models and services for contract lifecycle management software.

Outlier seeks Math Experts to evaluate AI outputs, craft questions, and assess relevance. Flexible, remote freelance position.

The Senior Solution Architect at Snowflake will lead technical migration projects, develop ETL workflows, and optimize cloud solutions while ensuring customer success.

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.

Lead the evolution of test automation frameworks integrating AI/ML, optimize execution speed, mentor team members, and report on KPIs.

As a Salesforce Digital Experience Solution Architect, you will design and implement interactive experiences, leveraging Salesforce technologies and lead teams in delivering customer solutions.

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 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 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.