Contract jobs in Canada

Explore contract jobs across Canada. Choose a location and read the full job details.

18,353 listings · 4,814 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (941 listings), Insight Global (301 listings), Actalent (193 listings).

Common roles: Project manager, Childcare provider, Sales representative.

5,296 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	29.46	4,198
CAD / year	70,000.00	754
USD / hour	46.00	157
USD / year	60,000.00	40
CAD / month	4,500.00	15

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 3% remote, 24% hybrid, 74% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Contract jobs in Canada

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Added 2 days ago
Accommodation Advisor - SSE - App D
Humber College
Toronto, ON
Added 2 days ago
GC
Warehouse Associate
GDKN Corp.
Orillia, ON
- Contract
Added 2 days ago
GC
Lead Electrical Engineer
GDKN Corp.
Mississauga, ON
- Contract
Added 2 days ago
GC
Warehouse Associate
GDKN Corp.
Regina, SK
- Contract
Added 2 days ago
T
Software Engineer 2
ThunderSoft
Markham, ON
- $55 to $60 CAD / hour
- Contract
Added 2 days ago
A
Python Fullstack Developer
Ampstek
Montreal, QC
- Contract
Added 2 days ago
A
QA Automation Engineer
Akkodis
Toronto, ON
- Contract
Added 2 days ago
A
Java Spark Developer
Apptad
Montreal, QC
- Contract
Added 2 days ago
SI
Site Reliability Engineer
Spruce InfoTech Inc.
ON · Ontario, Canada
- Contract
Added 2 days ago
SS
Labourer / Carpenter with extensive hands-on experience in grout installation
Scott Steel
Bissett, MB
- Contract
Added 2 days ago
VM
Sales Representative/Merchandiser
VIBRANT Marketing
Kingston, ON
- Contract
Added 2 days ago
A
Field Representative - Alcoholic Beverages
Acosta
Brampton, ON
- Full-time
Added 2 days ago
S
Senior Database Administrator
StafinGo
Toronto, ON · Greater Toronto Area, Canada
- $55 to $70 CAD / hour
- Contract
Added 2 days ago
R&
Executive Assistant III
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 2 days ago
LI
Senior Appian Developer
LanceSoft, Inc.
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Added 2 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 2 days ago
C
Human Resources Information System Analyst (Dayforce)
Confidential
Toronto, ON
- Contract
Added 2 days ago
GS
Product Owner
Gala Solutions
Montreal, QC
- Contract
Added 2 days ago
JW
Continuous Improvement Specialist- 12 Month Contract
Jamieson Wellness Inc.
Toronto, ON · Scarborough, ON
- $71,950 to $107,950 CAD / year
- Contract
Added 2 days ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Halifax, NS
- Contract
Added 2 days ago
CO
Admin Coordinator (1 Year Contract) - Central Ontario FS - Ayr, ON
Central Ontario FS
Ayr, ON
- Contract
Added 2 days ago
CO
Coordinator, Urban Forestry (Contract up to 12 months)
City of Burlington
Burlington, ON
- $70,312 to $87,891 CAD / year
- Contract
Added 2 days ago
AS
Air System Integrator
Ardent SoftSol Inc.
Mirabel, QC
- Contract
Added 2 days ago
V
Data Architect
VySystems
Toronto, ON
- Contract
Added 2 days ago
Literacy Fundamentals Instructor
SAIT
Calgary, AB

Smart IT Frame LLC

Artificial Intelligence Engineer

Halifax, NS, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Role: AI Platform Engineer

Location: Halifax, NS

Duration: Long Term Contract

Job Description

We are looking for an experienced AI Platform Engineer to design, build, and maintain scalable infrastructure and platforms that support AI/ML workloads, Generative AI applications, and agentic AI solutions. The ideal candidate will have strong experience in cloud infrastructure, Kubernetes, MLOps/LLMOps, automation, and deploying AI models and services into production environments.

Key Responsibilities

Design, build, and maintain scalable AI platforms supporting machine learning, Generative AI, and LLM-based applications.
Develop and manage cloud-native infrastructure using AWS, Azure, or GCP.
Deploy, manage, and scale AI workloads using Docker, Kubernetes, and container orchestration technologies.
Build and maintain CI/CD pipelines for AI model deployment, application releases, and infrastructure automation.
Implement MLOps and LLMOps practices for model lifecycle management, versioning, deployment, monitoring, and continuous improvement.
Support the deployment and integration of LLMs, RAG pipelines, vector databases, and AI agent frameworks.
Automate infrastructure provisioning and configuration management using Terraform, Ansible, or similar tools.
Establish monitoring, logging, observability, security, and governance standards for AI platforms.
Optimize platform performance, scalability, reliability, and cloud infrastructure costs.
Collaborate with data scientists, ML engineers, AI developers, and DevOps teams to deliver production-ready AI solutions.
Implement access controls, secrets management, data protection, and responsible AI platform practices.

Required Skills

Strong experience in platform engineering, DevOps, cloud engineering, or ML infrastructure.
Hands-on experience with AWS, Azure, or GCP.
Proficiency in Kubernetes, Docker, and containerized application deployment.
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Infrastructure as Code experience using Terraform, CloudFormation, or equivalent tools.
Knowledge of Python and scripting for automation.
Experience with MLOps/LLMOps tools and AI model deployment workflows.
Understanding of LLMs, Generative AI, RAG architectures, embeddings, and vector databases.
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, or cloud-native monitoring services.
Strong understanding of networking, IAM, security, and production system reliability.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable cloud-native platforms for machine learning, Generative AI, LLM applications, and AI agents. Manage deployment automation, model lifecycle practices, monitoring, security, governance, reliability, and cost optimization while collaborating with AI and DevOps teams.

Requirements

Requires strong experience in platform engineering, DevOps, cloud engineering, or ML infrastructure, with hands-on cloud, Kubernetes, Docker, CI/CD, and Infrastructure as Code expertise. Candidates should also know Python automation, MLOps/LLMOps, LLM and RAG architectures, vector databases, observability, networking, IAM, and production reliability.

Skills

Platform Engineering
Cloud Infrastructure
AWS
Azure
GCP
Kubernetes
Docker
CI/CD
Infrastructure as Code
Terraform
Python
MLOps
LLMOps
Generative AI
Retrieval-Augmented Generation
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineering
Machine Learning
Generative AI
LLMs
AI Agents
AWS
Azure
GCP
Docker
Kubernetes
Container Orchestration
CI/CD
Jenkins
GitHub Actions
GitLab CI/CD
Azure DevOps
Infrastructure as Code
Terraform
CloudFormation
Ansible
Python
MLOps
LLMOps
RAG
Embeddings
Vector Databases
Prometheus
Grafana
ELK
IAM

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