Machine Learning Engineer

Golden River LED; Richmond; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Golden River LED seeks a Machine Learning Engineer to leverage data across business, product, sales, and service in LED display operations. You will translate data insights into practical ML solutions for planning, forecasting, and aftermarket analysis.

The role emphasizes building predictive models, collaborating with product, sales, and technical teams, and communicating findings clearly to both business and technical stakeholders in a fast-paced environment.

Qualifications

• Master's degree or higher in Machine Learning, Computer Science, Electrical Engineering, or a related field.
• Experience with machine learning engineering and data analysis.
• Strong Python skills and familiarity with common machine learning frameworks.
• Ability to communicate technical findings clearly to business and technical team members.

Responsibilities

• Develop machine learning and predictive analytics models for product recommendation, demand forecasting, and customer-solution matching.
• Analyze customer inquiries, quotations, sales records, product specifications, inventory data, and after-sales records.
• Support dashboards and reporting tools for product planning, sales forecasting, and operational decision-making.
• Work with product, sales, and technical team members to translate business needs into practical data and machine learning solutions.

Skills

Machine Learning

Python

Data Analysis

Communication

Education

Master's degree or higher

Job description

Golden River LED is seeking a Machine Learning Engineer to help us make better use of business, product, sales, and service data in our LED display operations. This role will support practical data-driven tools for product planning, demand forecasting, customer solution matching, inventory planning, and after-sales analysis.

Why We Need This Position?

– As our LED display retail and rental work grows, we need stronger internal data capabilities to understand customer needs, improve quotation and product planning workflows, and support more consistent technical recommendations. This position is intended to help the company turn operating data into practical insights that can support sales, technical service, inventory, and management decisions.

• Develop machine learning and predictive analytics models for product recommendation, demand forecasting, and customer-solution matching.
• Analyze customer inquiries, quotations, sales records, product specifications, inventory data, and after-sales records.
• Support dashboards and reporting tools for product planning, sales forecasting, and operational decision-making.
• Work with product, sales, and technical team members to translate business needs into practical data and machine learning solutions.

Qualifications

• Master’s degree or higher in Machine Learning, Computer Science, Electrical Engineering, or a related field.
• Experience with machine learning engineering and data analysis.
• Strong Python skills and familiarity with common machine learning frameworks.
• Ability to communicate technical findings clearly to business and technical team members.