Join Sanctuary AI as a Machine Learning Operations Engineer and innovate in robotic intelligence. Focus on infrastructure management and deployment automation in Vancouver.As a Machine Learning Operations Engineer at Sanctuary AI, you will work closely with teams to ensure the efficient operation of data pipelines and ML models. This role demands a strong foundation in cloud services and automation tools, where your experience will support the development of state-of-the-art robotic systems.Key Responsibilities:Establish and maintain scalable machine learning infrastructureManage cloud services, containers, and orchestration platformsDeploy current tools to enhance data collection processesAddress performance issues within training clustersAid researchers in optimizing ML workloadsRequirements:Bachelor's degree in Computer Science or related fieldMinimum 3 years of experience with Docker and cloud servicesAt least 2 years of experience with ML frameworksProficient in Python and Linux systemsFamiliar with CI/CD and GitOps approachesShape the future of automation with your skills at Sanctuary AI.#J-18808-Ljbffr

📌 Infrastructure Engineer For Ml Operations (Vancouver)
🏢 Sanctuary AI
📍 Vancouver