At a Glance
- Tasks: Innovate in robotic intelligence and manage scalable ML infrastructure.
- Company: Join Sanctuary AI, a leader in robotic systems and automation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Collaborative team atmosphere in vibrant Vancouver.
- Why this job: Shape the future of automation and work on cutting-edge technology.
- Qualifications: Bachelor's in Computer Science, 3 years with Docker, and ML frameworks experience.
The predicted salary is between 90000 - 110000 $ per year.
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 Git Ops approaches
- Shape the future of automation with your skills at Sanctuary AI. #J-18808-Ljbffr
Infrastructure Engineer for ML Operations in Vancouver employer: Sanctuary AI
Sanctuary AI is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Vancouver, Canada. As a Machine Learning Deployment Specialist, you will not only contribute to groundbreaking advancements in robotic intelligence but also enjoy a supportive work environment that prioritizes employee growth through continuous learning opportunities and cutting-edge projects. With a focus on work-life balance and a commitment to security and efficiency, Sanctuary AI offers a unique chance to be part of a transformative journey in technology.
