DevOps/MLOps Engineer AI Team Vancouver

Join our Artificial Intelligence team as an Intermediate II DevOps/MLOps Engineer in Vancouver, BC. This hybrid role focuses on delivering scalable infrastructure for machine learning applications with a three-day onsite requirement. You will ensure the smooth operation of development and production environments while significantly improving automation processes. Your expertise in MLOps tools and CI/CD practices will directly impact AI/ML service reliability. Collaborate effectively across teams to drive quality and efficiency in deployments. Key Responsibilities: • Create frameworks for enhanced CI/CD automation • Manage Kubernetes deployments of applications and ML services • Oversee performance and health monitoring of services • Troubleshoot operational issues using monitoring tools • Partner with teams to achieve reliable product deployments Requirements: • 3-5 years of experience in DevOps or MLOps • Bachelor's degree in Computer Science or related field • Proficiency in Python and CI/CD tools like Jenkins • Understanding of software delivery practices • Strong communication and organizational skills Make a difference in AI operations as part of our team in Vancouver.