Infrastructure Engineer for ML Operations
Summary
Build and maintain ML infrastructure for robotic intelligence systems, automating deployments and optimizing training pipelines in Python and cloud environments.
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.