Contract jobs in Vaughan, Ontario

Find contract jobs in Vaughan, Ontario and nearby towns within 25 km. Read the full details and apply.

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Within 25 km of Vaughan

Added 4 hours ago
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Senior Data Architect/Modeller (AI/ML, RAG, Generative AI exp)
Bevertec
Toronto, ON
- $90 to $95 CAD / hour
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Bevertec

Senior Data Architect/Modeller (AI/ML, RAG, Generative AI exp)

Toronto, ON, Canada

$90 to $95 CAD / hour · Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Pay: $90 to $95 CAD / hour
Job type: Contract
Apply by: Dec 4, 2026
Posted: Nov 4, 2026

Original job description

Job Role: Senior Data Architect/Modeller (AI/ML, RAG, Generative AI exp)

Location : Toronto, ON/Hybrid

Position Type : Contract Role

Start Date

2026-11-23

End Date

2027-04-23

3 days onsite

Ideal Candidate Salary: CAD 90-95/Hr (Depending on the experience)

Must Have:

Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.
Deep technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.
Strong understanding of data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the AI/ML and model lifecycle.

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.

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More about this job

Responsibilities

Design enterprise data architectures and conceptual, logical, and physical data models for AI/ML, generative AI, analytics, and cloud workloads. Create governed, traceable data architectures that support model training and inference, RAG, feature engineering, AI/ML pipelines, and the model lifecycle.

Requirements

Requires significant experience designing enterprise data architectures and data models for AI/ML, generative AI, analytics, and cloud workloads. Candidates must have deep expertise in cloud data platforms, data engineering, integration, APIs, metadata, lineage, data quality, Azure data and AI services, and governance, security, privacy, and information lifecycle management.

Skills

Enterprise Data Architecture
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Cloud Data Platforms
Data Engineering
Data Integration
Azure
Azure Machine Learning
Microsoft Foundry
Data Governance
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Analytics
Cloud Workloads
Model Training
Model Inference
Feature Engineering
AI/ML Pipelines
Cloud Data Platforms
Data Engineering
Data Integration
APIs
Metadata
Data Lineage
Data Quality
Azure
Azure Machine Learning
Microsoft Foundry
Data Governance
Data Ownership
Security
Privacy
Model Lifecycle

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