Machine Learning Operations Engineer

Sanctuary AI is seeking a Machine Learning Operations Engineer to join their team in Vancouver, BC. This full-time, on-site role is part of the Software Engineering – Data Collection Infrastructure department. The ideal candidate should have experience in both machine learning and DevOps, with a strong background in Python programming.

Key requirements for this position include:

1. Work/research experience with Machine Learning
2. At least 4 years of experience working with Machine Learning
3. Proficiency in Python programming with at least 4 years of experience
4. Experience in developing machine learning projects and programs
5. Legal authorization to work in Canada

The role involves managing and optimizing machine learning operations, likely including tasks such as:

• Developing and maintaining ML pipelines
• Implementing MLOps best practices
• Collaborating with data scientists and software engineers
• Optimizing model deployment and performance
• Ensuring scalability and reliability of ML systems

Sanctuary AI is at the forefront of AI development, focusing on creating intelligent machines that can perform physical tasks. This role offers an exciting opportunity to work on cutting-edge technology in a dynamic environment.

Candidates should be prepared to showcase their experience with machine learning projects and Python development. The ability to work on-site in Vancouver and contribute to a collaborative team environment is essential for this position.

Join Sanctuary AI to push the boundaries of machine learning and contribute to the development of next-generation AI systems.