Posted 7 days ago
Senior Machine Learning Engineer
@ BuzzClan
Toronto, Ontario
Overview
BuzzClan is hiring a Senior Machine Learning Engineer on a 6+ month contract, with possible extension, for a public sector client in Toronto, ON. The role is hybrid, with 3 days onsite each week, and centres on building, deploying and monitoring machine learning models in Azure.
Responsibilities:
- Build and deploy ML models in Azure
- Operationalize models with CI/CD, APIs and monitoring
- Detect drift and retrain models automatically
- Define business objectives and performance metrics
- Manage technical resources and project deadlines
Requirements summary:
- Extensive Azure Machine Learning and MLOps experience
- Strong Python and SQL proficiency
- Production model deployment experience
- Knowledge of statistics and model validation
- Strong communication and stakeholder management skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-03
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
BuzzClan
| Field | Value |
|---|---|
| Open jobs on Jobsy | 4 |
Job Title: Machine Learning Engineer – Senior
Location: Toronto, ON (Hybrid – 3 Days Onsite)
Client: Public Sector
Duration: 6+ Months Contract (Possibility of Extension)
Required Experience and Skills
- Extensive hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, and MLOps practices.
- Strong proficiency in Python and SQL, with demonstrated experience developing, testing, and deploying machine learning models into production environments.
- Experience implementing CI/CD pipelines, containers, APIs, automation, model deployment, monitoring, and observability.
- Strong understanding of machine learning algorithms, including classification, regression, clustering, feature engineering, and model evaluation.
- Experience with hyperparameter tuning, model optimization, performance troubleshooting, drift detection, and automated model retraining.
- Hands-on experience with Azure ML Studio, Azure AI Foundry, Databricks, Git, VS Code, Jira, Power BI, and Power Automate.
- Experience designing, developing, integrating, and operationalizing machine learning and deep learning solutions.
- Strong knowledge of statistics, data preprocessing, data cleaning, feature engineering, and validation strategies.
- Ability to analyze and visualize datasets, identify data distribution differences, and ensure data quality for reliable model performance.
- Experience defining business objectives, developing appropriate ML solutions, and establishing performance metrics to measure outcomes.
- Strong problem-solving, analytical, communication, and stakeholder management skills.
- Ability to manage technical resources, competing priorities, and project deadlines while collaborating with cross-functional teams.
Nice-to-Have Skills and Experience
- Previous public-sector or government experience.
- Experience establishing reusable MLOps frameworks, deployment patterns, and enterprise-wide ML automation.
- Experience with large-scale data processing using Azure Databricks and related cloud data platforms.
- Experience with production model monitoring, observability, drift detection, and continuous improvement.
- Familiarity with Power BI and Power Automate for analytics, reporting, and workflow automation.
- Experience integrating ML solutions with enterprise applications through APIs and automated workflows.
If this aligns with your experience, please share your updated resume with me at [email protected].
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