Machine Learning Quality Assurance Engineer
Job Description
Weir Motion Metrics, a leading Canadian mining technology division, is seeking a Machine Learning Quality Assurance Engineer to join their innovative team in Vancouver. This role offers a unique opportunity to work at the intersection of AI and mining technology, helping to shape the future of sustainable mining operations.
The position involves working with cutting-edge AI and computer vision solutions, where you'll be responsible for monitoring, evaluating, and improving machine learning algorithms across cloud and edge platforms. As part of a global organization with 11,000 employees across 60 countries, you'll have the chance to make a significant impact on mining efficiency and sustainability.
The role offers a hybrid work arrangement (2 days in office) and competitive compensation between CAD 80,000-100,000. You'll be working closely with data scientists and developers, building monitoring pipelines, analyzing algorithm performance, and contributing to the development of AI solutions that make mining operations smarter and more sustainable.
Key aspects of the role include developing monitoring pipelines, contributing to ML projects, identifying and addressing production issues, and creating automated workflows for data analysis. You'll need strong expertise in Python, SQL, and machine learning, with at least 3 years of relevant experience.
Weir Motion Metrics, as part of the larger Weir Group (founded in 1871), offers excellent career growth opportunities in a rapidly evolving field. The company emphasizes innovation, collaboration, and individual growth, making it an ideal environment for professionals looking to advance their careers in AI and machine learning while contributing to sustainable mining practices.
The company culture promotes inclusivity, diversity, and work-life balance, with a strong focus on employee wellbeing and professional development. As their first center of excellence for artificial intelligence and machine vision technology, you'll be at the forefront of technological innovation in the mining industry.
Responsibilities For Machine Learning Quality Assurance Engineer
- Develop and maintain monitoring pipelines for algorithm performance
- Contribute to machine learning development projects
- Identify and address production issues
- Create tools and pipelines for data analysis and benchmarking
- Collaborate with stakeholders on labeling standards and performance metrics
- Support QA activities and training
- Execute integration tests
Requirements For Machine Learning Quality Assurance Engineer
- Bachelor's Degree or higher in Computer Science or related technology/engineering field
- 3+ years of hands-on experience in developing and implementing and testing machine learning algorithms
- Solid understanding of statistical learning algorithms
- Proficiency in Python, SQL, and version control
- Basic familiarity with object- and service-oriented design, API development
- Strong analytical, communication and presentation skills
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