Machine Learning Engineer
Bevertec
Employment Type:
ContractStart Date: 2026-11-23End Date: 2027-05-23Location:
TorontoWork Arrangement:
Hybrid – 3 days onsite per weekMust Haves:Advanced hands-on experience with
Azure Machine Learning, Microsoft Foundry (Azure AI Foundry), and MLOps, including CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.Strong
Python and Machine Learning Engineering
skills, with demonstrated experience taking ML models from experimentation into reliable production environments.Experience with the following technology stack:
Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure ML Studio, Azure AI Foundry, and Databricks.Deep understanding of
Machine Learning algorithms and statistical methods, including classification, regression, clustering, and feature engineering.Experience with
model evaluation, hyperparameter tuning, model drift, retraining, performance optimization, and production model troubleshooting.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 decisions regarding candidate progression are always made by a human.
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ContractStart Date: 2026-11-23End Date: 2027-05-23Location:
TorontoWork Arrangement:
Hybrid – 3 days onsite per weekMust Haves:Advanced hands-on experience with
Azure Machine Learning, Microsoft Foundry (Azure AI Foundry), and MLOps, including CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.Strong
Python and Machine Learning Engineering
skills, with demonstrated experience taking ML models from experimentation into reliable production environments.Experience with the following technology stack:
Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure ML Studio, Azure AI Foundry, and Databricks.Deep understanding of
Machine Learning algorithms and statistical methods, including classification, regression, clustering, and feature engineering.Experience with
model evaluation, hyperparameter tuning, model drift, retraining, performance optimization, and production model troubleshooting.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 decisions regarding candidate progression are always made by a human.
#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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