Senior Machine Learning Engineer

• 7 years experience with Artificial Intelligence (AI) or Machine Learning (ML) applied to data science or analytics, such as using ML for anomaly detection, predictive monitoring, or AI-assisted data transformation and automation.
• 7 years experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL
• 7 years experience in building analytical and quantitative analysis models.
• 7 years experience in preparing data for prescriptive and predictive modelling
• 7 years experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling).
• 7 years experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data.
• 6 years experience combining raw data from a variety of data sources within and across domains.
• 5 years experience in understanding complex businesses questions and framing the right analytical question to solve a business problem.
• 5 years experience preparing visualizations, dashboards, and analytical models
• 6 years experience with and understanding of statistical and data mining techniques to address key business issues.
• 5 years experience working with large datasets.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

Thank you for your interest in your next great opportunity with Bevertec

Only those selected for an interview will be contacted, Bevertec is committed to Employment Equity and encourages applications from all qualified candidates. In accordance with the Accessibility for Ontarians