Top AI Jobs in Vancouver

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 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.

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

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

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