Infrastructure Engineer for ML Operations

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 infrastructure • Manage cloud services, containers, and orchestration platforms • Deploy new tools to enhance data collection processes • Address performance issues within training clusters • Aid researchers in optimizing ML workloads Requirements: • Bachelor's degree in Computer Science or related field • Minimum 3 years of experience with Docker and cloud services • At least 2 years of experience with ML frameworks • Proficient in Python and Linux systems • Familiar with CI/CD and GitOps approaches Shape the future of automation with your skills at Sanctuary AI. #J-18808-Ljbffr