Contract jobs in Canada

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

18,249 listings · 4,798 employers Counted Oct 25, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (927 listings), Insight Global (298 listings), Actalent (193 listings).

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

5,282 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	29.25	4,189
CAD / year	70,000.00	753
USD / hour	45.00	154
USD / year	60,000.00	39
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 3 days ago
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- Contract
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- $69 to $70 CAD / hour
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- Contract
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Engineering - Validation Engineer
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Markham, ON
- $46 to $47 CAD / hour
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AG
Application Developer III
Allegis Global Solutions
Toronto, ON
- $70 to $73 CAD / hour
- Contract
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Fleet & Logistics Coordinator (12M Contract)
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Courtice, ON
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T®
Validation Engineer I
TekWissen ®
Vaughan, ON
- $37 to $38 CAD / hour
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PL/SQL Developer
AllianceIT Inc
Montreal, QC
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Toronto, ON
- $90 to $100 CAD / hour
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PL/SQL Developer (Unix & DB2)
ITMC Systems, Inc
Montreal, QC
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QA Automation Engineer
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Toronto, ON
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Bilingual Account Transfer Representative (English/French)
Collabera
Mississauga, ON
- $19 to $20 CAD / hour
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KR
Project Accountant
Kassen Recruitment
Burlington, ON
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Markham, ON
- $40 to $45 CAD / hour
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Ascensia Diabetes Care
Quebec, QC · CA-Field
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Portfolio Analyst, Investment Solutions - 10 Month Contract
Scotiabank
Toronto, ON
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Bureau Veritas
Vancouver, BC
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RQ11822 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
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Unregulated Care Provider/Personal Support Worker (PSW)
Noojmowin Teg Health Centre
Little Current, ON
- $25 to $33 CAD / hour
- Contract
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(CAN) Team Leader, Quality Assurance (9 month contract) Nights - Sunday to Wednesday - 5pm-3.30am
Walmart Canada
Mississauga, ON
- Contract
Added 3 days ago
Senior Buyer
PCL Construction
Edmonton, AB
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HC
Remodeler
Handyman Connection of Kelowna
Vernon, BC
- $35 to $55 CAD / hour
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Event Vehicle Coordinator (Freelancer), Field Marketing
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Montreal, QC
- Part-time
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Specialist, Paid Media
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Montreal, QC
- Full-time

Cynet Systems

GEN AI Specialist

Montreal, QC, Canada

$50 to $55 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $50 to $55 CAD / hour
Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Overview

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have

8+ years of experience in data science or AI engineering.
2+ years of dedicated experience in Generative AI.
Deep expertise in PyTorch, TensorFlow, or JAX.
Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
Mastery of Python for performance tuning.
Deep understanding of regression, clustering, decision trees, and ensemble methods.
Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).
Experience with Vector Databases such as ChromaDB, Pinecone, or Milvus.
Proficiency with SQL and NoSQL databases.
Experience with MLflow, Kubeflow, or Triton Inference Server.
Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI).
Experience with GPU acceleration and CUDA.

Responsibilities

Design and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models.
Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms.
Build scalable pipelines for data preprocessing, feature engineering, and model training.
Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs.
Integrate AI models seamlessly into production software architectures and enterprise workflows.

Skills

Python.
Generative AI (GenAI).
Large Language Models (LLMs).
Prompt Engineering.
Fine-tuning LLMs.
Retrieval-Augmented Generation (RAG).
PyTorch.
TensorFlow.
JAX.
Hugging Face.
LangChain.
LlamaIndex.
vLLM.
Machine Learning.
Deep Learning.
Transformers.
CNNs.
RNNs.
RLHF.
Vector Databases.
MLOps.
CUDA.

Qualification And Education

Master s degree in Computer Science, Data Science, Mathematics, or a related quantitative field.

Benefits

Our Benefits Include:

Medical, Dental, and Vision Insurance
401(k) Retirement Plan
Health Savings Account (HSA)
Disability Insurance (Short-Term and Long-Term)
Life and AD&D Insurance
Paid Sick Leave (where required by applicable state or local law)
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program (EAP)
Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Apply About employer

More about this job

Responsibilities

Design and deploy generative AI solutions using large language models and diffusion models, applying prompt engineering, fine-tuning, and retrieval-augmented generation. Develop and scale machine learning pipelines, optimize model inference for speed, latency, and cost, and integrate AI models into production systems and enterprise workflows.

Requirements

Requires 8+ years of experience in data science or AI engineering, including 2+ years focused on generative AI, along with expertise in deep learning frameworks, AI development tools, machine learning methods, databases, MLOps, cloud platforms, and GPU acceleration. A master’s degree in computer science, data science, mathematics, or a related quantitative field is required.

Skills

Python
Generative AI
Large Language Models
Prompt Engineering
LLM Fine-Tuning
Retrieval-Augmented Generation
PyTorch
TensorFlow
JAX
Hugging Face
LangChain
LlamaIndex
vLLM
Machine Learning
Deep Learning
CUDA

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Health Savings Account
Short-Term Disability Insurance
Long-Term Disability Insurance
Life and AD&D Insurance
Paid Sick Leave
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program
Career Growth and Professional Development

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Diffusion Models
Prompt Engineering
Fine-Tuning
Retrieval-Augmented Generation
Python
PyTorch
TensorFlow
JAX
Hugging Face
LangChain
LlamaIndex
vLLM
Machine Learning
Deep Learning
Regression
Clustering
Decision Trees
Ensemble Methods
Transformers
CNNs
RNNs
RLHF
Vector Databases
SQL
NoSQL
MLflow
Kubeflow
CUDA

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