Jobs in Canada

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Added 25 mins ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Added 54 mins ago
AI Engineer
Triunity Software
Halifax, NS
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the forefront of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
St. John's, NL
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the forefront of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Fredericton, NB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Winnipeg, MB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Regina, SK
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in Ontario, ON. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Quebec, QC
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in Quebec, QC. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
AB · Edmonton, AB
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Edmonton, AB. This is an exciting opportunity to work at the cutting edge of artificial…
Added 54 mins ago
AI Engineer
Triunity Software
Victoria, BC
$100,000 to $110,000 CAD / year
Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Victoria, BC. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 hour ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
Added 1 hour ago
Data & AI Business Analyst
Kelly
Toronto, ON
Contract
You do not need to be a data scientist or machine learning engineer; however, you should have enough technical fluency to understand how data and AI solutions are developed, validated, and…
Added 1 hour ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
Google Cloud Professional Machine Learning Engineer
Added 1 hour ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 1 hour ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 1 hour ago
Applied AI Engineer
Ranger AI
Canada
Full-time
This is a remote/hybrid role for an Applied AI Engineer at Ranger AI.
Added 2 hours ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Certifications in cloud or AI/ML platforms (e.g., Microsoft Azure AI Engineer Associate, Azure Data Scientist Associate, Databricks) considered an asset.
Added 3 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 3 hours ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
Full-time
Added 3 hours ago
Senior Data Engineer (Databricks)
Yochana
Toronto, ON
Contract
Databricks Certified Data Engineer Associate or Professional Certification.
Added 4 hours ago
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
Internship
Role Description: Full Stack / Data & AI Engineer Intern
Added 4 hours ago
Systems Engineer - End-to-End Software Diagnostics & Observability
EPITEC
Ottawa, ON
Contract
Epitec is seeking a Systems Engineer to support the development of next-generation software diagnostics and observability solutions for connected, intelligent vehicles. This role sits at…
Added 4 hours ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 5 hours ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in Canada.
Added 5 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract

Compass Data & AI

New Graduate / Internship Applications

Montreal, QC, Canada

Job type: Internship
Apply by: Oct 1, 2026
Posting language: English
Posted: May 15, 2026

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Original job description

Role Description: Full Stack / Data & AI Engineer Intern

Compass Analytics is excited to recruit a talented and driven Intern to join our growing Data & AI Delivery team. The ideal candidate will have a passion for designing, developing, and deploying cutting-edge AI and ML applications, as well as a strong foundation in MLOps and software engineering best practices.

About Compass Analytics

Compass Analytics specializes in delivering end-to-end data solutions to clients across diverse industries ranging from Aviation, Healthcare, Financial Services, Retail, and Sports. Our expertise spans across multiple disciplines including Data Architecture, Data Engineering, Data Governance, Artificial Intelligence & Machine Learning, Process Automation, and Dashboarding. We pride ourselves on fostering a culture that emphasizes purpose in what we are building for our clients, elegance and rigor in how we work with everyone, and a fun environment as we get work done.

Based in Montréal, Québec, Compass Analytics is composed of talented data professionals who support their clients in their data transformation initiatives. Our clients lean on us to bring their data ideas into reality.

Role Details

Position: Full Stack / Data & AI Engineer Intern

Number of Open Roles: 1-3

Location: Remote or Hybrid in Montreal

Duration: Intern Full-Time (4 or 8 months)

Key Responsibilities

Under the guidance of our leadership team and tech leads, the Data & AI Engineer Intern will be responsible for the following tasks:

Collaborate closely with cross-functional teams and stakeholders to deliver data-driven and AI-powered solutions aligned with business objectives.
Design, build, and maintain scalable data pipelines and architectures, ensuring reliable ingestion, transformation, and delivery of data.
Collect, preprocess, and engineer features from structured and unstructured data to support analytics, machine learning, and AI use cases.
Build and maintain back-end services and APIs for data/AI products, including feature retrieval, model inference, and data access layers
Maintain comprehensive technical documentation covering model architectures, data pipelines, experiments, and deployment processes.
Stay informed on advancements in AI/ML research and recommend adoption of emerging tools, frameworks, and techniques.
Support Data Engineering and Analytics projects as well as other projects within the scope of the assigned mandate (e.g., dashboarding or pipeline automation).

Technical Capabilities

Programming Languages: Proficiency in SQL and Python is essential; experience with PyTorch, Spark, Scala, or similar technologies is a plus.
Cloud Platforms: Experience or familiarity with Databricks, Snowflake, AWS, Azure, or Google Cloud.
Full Stack: Familiarity with modern Web App & API frameworks including React.js/Next.js for frontend and Flask or FastAPI for backend
GenAI: Familiarity with modern GenAI frameworks (e.g., LangChain, LangGraph) and hands-on experience building AI-powered applications is a plus.
MLOps / DataOps: Familiarity with CI/CD pipelines, Git-based version control (e.g., GitHub), and deployment workflows.
Collaboration Tools: Experience with JIRA and Confluence is a plus.

Minimum Requirements

Education: Currently enrolled in or recently completed a Bachelor’s degree in Computer Science, Software Engineering, Math/Physics, or a related quantitative field.

Preferred Qualifications

Problem Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Organized & Rigorous Approach: Strong organizational skills and attention to detail, ensuring rigor in development and accuracy in outputs.
Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

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More about this job

Responsibilities

Collaborate with cross-functional teams to build and maintain scalable data pipelines, architectures, backend services, and APIs for analytics and AI solutions. Prepare data and features, document models and deployment processes, monitor developments in AI/ML, and support data engineering, analytics, dashboarding, and automation projects.

Requirements

Applicants must be currently enrolled in or have recently completed a bachelor’s degree in computer science, software engineering, mathematics, physics, or a related quantitative field. Proficiency in Python and SQL is essential, along with analytical problem-solving, organization, attention to detail, and strong communication; familiarity with cloud platforms, web frameworks, GenAI, and MLOps is an asset.

Skills

Python
SQL
Data Engineering
Data Pipelines
Machine Learning
Artificial Intelligence
MLOps
DataOps
Software Engineering
API Development
Feature Engineering
Cloud Platforms
React.js
Next.js
Flask
FastAPI

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PyTorch
Spark
Scala
Databricks
Snowflake
AWS
Azure
Google Cloud
React.js
Next.js
Flask
FastAPI
LangChain
LangGraph
GitHub
JIRA
Confluence
MLOps
DataOps
CI/CD
Data Pipelines
Feature Engineering
Machine Learning
Generative AI
API Development
Dashboarding
Data Governance
Process Automation

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