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 effective operation of data pipelines and ML models. This role demands a robust 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 current tools to enhance data collection processes
Address performance issues within training clusters
Aid researchers in optimizing ML workloadsRequirements:
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 Git Ops approachesShape the future of automation with your skills at Sanctuary AI.#J-18808-Ljbffr

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