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 current 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

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