Jobs in Canada

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Added 25 days ago
IC
Business Analyst
Infotek Consulting Inc.
Toronto, ON
- $60 to $70 CAD / hour
- Contract
Partner with technical and business stakeholders to define requirements and turn complex technical concepts into clear business language
Added 25 days ago
BS
HIL Simulation Controls Engineer
Bartech Staffing
Toronto, ON · Greater Toronto Area, Canada
- $48 to $50 CAD / hour
- Contract
Must possess excellent communication skills
Added 25 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
To excel in this senior role, candidates must possess:
Added 25 days ago
G
Analyst, Mining Systems
Glencore
Sparwood, BC
- $85,000 to $100,000 CAD / year
- Full-time
…environmental performance and building strong partnerships with communities and Indigenous…
Added 25 days ago
O
Software Developer (Microsoft 365 & Azure Integrations) 1
OpenText
Richmond Hill, ON
- Full-time
…authentication and token flows, and collaborating directly with clients to diagnose and reproduce issues. This is a role for a developer who enjoys tackling difficult integration problems,…
Added 25 days ago
TH
ANALYSTE PRINCIPAL, PERSPECTIVES COMMERCIALES, FINANCES
The Home Depot Canada
Toronto, ON
- Full-time
Workflow Modernization: Move legacy workflows, including Alteryx, to SQL- and Python-based processes in partnership with analytics engineering.
Added 25 days ago
TH
Senior Insight Analyst
The Home Depot Canada
Toronto, ON
- Full-time
Workflow Modernization: Move legacy workflows, including Alteryx, to SQL- and Python-based processes in partnership with analytics engineering.
Added 25 days ago
T
Principal Backend Developer
Toast
Toronto, ON
- $160,000 to $180,000 CAD / year
- Full-time
Toast is recruiting on behalf of an early-stage sports and casino sweepstakes company for a Principal Backend Developer based in Toronto (hybrid), reporting directly to the CTO. This is a…
Added 25 days ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Forward Deployed Engineer (Python/PySpark + Claude AI + Data & MLOps)
Added 25 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $60 CAD / hour
- Contract
Hybrid work arrangement with 3 days on-site, including Thursdays.
Added 25 days ago
ON
Business Intelligence Analyst
Ontario Northland
North Bay, ON
- Full-time
…120 years and strong connections to the communities we serve. With over 1200 skilled professionals, we work together to enhance transportation services and ensure that they are sustainable…
Added 25 days ago
A
AI Platform Engineer : Halifax, Nova Scotia : Hybrid : FTE
AceStack
Halifax, NS
- Full-time
Work Model: Onsite – 4 Days per Week
Added 25 days ago
GD
Principal Data & AI Engineer
General Dynamics Mission Systems–Canada
Ottawa, ON
- $140,000 to $170,000 CAD / year
- Full-time
Strong development experience with SQL, Python, APIs, and data orchestration technologies.
Added 25 days ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $26.95 to $38.5 CAD / hour
- Other
5 years of scripting and automation experience with Python or Java.
Added 25 days ago
TC
SQE
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Familiarity with browser developer tools, application logs, and debugging techniques for troubleshooting and validating application behavior.
Added 25 days ago
P
Algorithm Developer- 3D Reconstruction
Planitar
Waterloo, ON
- Full-time
As an Algorithm Developer, you will join a tight-knit engineering team building the next generation Planix capture system. You will work on the 3D reconstruction pipeline that converts raw…
Added 25 days ago
PC
AI & Digital Innovation Engineering Intern
Parsons Corporation
Toronto, ON
- Full-time
Toronto, ON preferred, following a flexible hybrid schedule (1 to 2 days in office per week) depending on project needs and your location
Added 25 days ago
S
MBSE & Digital Twin Specialist (Internship) – ALTO project / Cadence
SYSTRA
Montreal, QC
- Internship
Support the integration of MBSE tools with other digital platforms.
Added 25 days ago
TC
Jira Service Management Intake & Automation Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 25 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
8+ years of software development experience with strong hands-on expertise in Python.
Added 25 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 25 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
Added 25 days ago
B
Manager, Data Science, AI Risk
BMO
Sainte-Catherine, QC · Toronto, ON · FCP
- Full-time
Experience with data visualization and analytics platforms (e.g., Power BI, SQL, Python) preferred.
Added 25 days ago
MT
DSP & Systems Architecture Intern
Marvell Technology
Toronto, ON · Markham, ON · CA-ON - Markham
- Full-time
Collaborate with analog, digital, photonics, and firmware engineering teams to validate architectural assumptions against real hardware and silicon measurements
Added 25 days ago
MC
Junior Quality Engineer
Method CRM
Toronto, ON
- Full-time
1+ years of working experience in developing Integration Testing (API level) with Python or other languages.

Yeji Data Lab

Senior Software Engineer

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: 7+ years of proven experience in:
Posting language: English · French
Posted: Oct 15, 2026

Original job description

English section of this bilingual listing.

As a global firm at the forefront of the AI revolution, Yeji Data Lab partners with world-leading clients to address their most critical challenges. We leverage Machine Learning, Generative AI, and Operations Research technology to drive sustained value and innovation. Our agile and solution-oriented team collaborates with clients across diverse regions, with a strong focus on North America and Middle East regions in addition to strategic plans to expand in the Asia Pacific region. We invite you to join our journey and play a pivotal role in our expansion.

Join us and be part of our growth!

We are currently searching for a Senior Software Engineer to collaborate with our exceptional, growing team of business and AI specialists at Yeji Data Lab. The ideal candidate should possess a solid background in client-facing delivery work and a strong comprehension of the tech and Artificial Intelligence industries.

The role is based in Montreal, with occasional trips to our clients. We operate in a hybrid mode.

Key Responsibilities:

As a Senior Software Developer, your role will encompass a broad range of critical functions:

Architecting, developing, and deploying high-performance cloud applications that integrate machine learning models into production environments.
Ensuring seamless integration of machine learning solutions with frontend and backend systems.
Collaborating with data scientists and engineers to optimize, scale, and deploy machine learning models efficiently.
Designing and deploying advanced cloud architectures (e.g., AWS, GCP, Azure) for the development of AI-driven cloud-native applications.
Championing best coding practices, including writing maintainable, well-documented code and promoting software quality through rigorous unit tests, code reviews, and adherence to best practices.
Overseeing the construction and management of sophisticated data infrastructures, including databases, data warehouses, and data lakes, utilizing technologies such as SQL, NoSQL, and cloud-based storage solutions.
Facilitating collaboration with cross-functional teams to ensure the seamless integration of AI and data engineering solutions with company-wide systems and applications.
Leading the troubleshooting, debugging, and upgrading of existing applications.
Producing comprehensive technical documentation for reference and reporting purposes.

Position Requirements:

To excel in this senior role, candidates must possess:

Degree in Computer Science, Software Engineering, or a related discipline; or equivalent experience.

7+ years of proven experience in:

Software development, with a significant portion in a senior or lead capacity.
Backend development languages such as Python and Node.js
Front-end technologies including React, HTML, CSS.
Cloud platforms like Azure, AWS, GCP, including architecture, CI/CD workflows, and security best practices.
Proficiency in developing, deploying, and managing microservices architecture, with expert knowledge in container technologies such as Docker and Kubernetes.
A solid track record of working with both relational and non-relational databases and an understanding of cloud-based storage solutions.
In-depth experience with Agile and Scrum methodologies, with a strong ability to lead and mentor Agile teams.
Expertise in version control systems, especially Git, with experience in managing complex development workflows.
Exceptional problem-solving, communication, and leadership skills, with a proven ability to drive projects and mentor junior team members.

Nice to Have:

Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, Transformers, and MLOps tools like MLflow, Kubeflow, or SageMaker.

---

Faites partie de notre équipe !

Read the full bilingual original

Join us and be part of our growth!

The role is based in Montreal, with occasional trips to our clients. We operate in a hybrid mode.

Key Responsibilities:

As a Senior Software Developer, your role will encompass a broad range of critical functions:

Architecting, developing, and deploying high-performance cloud applications that integrate machine learning models into production environments.
Ensuring seamless integration of machine learning solutions with frontend and backend systems.
Collaborating with data scientists and engineers to optimize, scale, and deploy machine learning models efficiently.
Designing and deploying advanced cloud architectures (e.g., AWS, GCP, Azure) for the development of AI-driven cloud-native applications.
Championing best coding practices, including writing maintainable, well-documented code and promoting software quality through rigorous unit tests, code reviews, and adherence to best practices.
Overseeing the construction and management of sophisticated data infrastructures, including databases, data warehouses, and data lakes, utilizing technologies such as SQL, NoSQL, and cloud-based storage solutions.
Facilitating collaboration with cross-functional teams to ensure the seamless integration of AI and data engineering solutions with company-wide systems and applications.
Leading the troubleshooting, debugging, and upgrading of existing applications.
Producing comprehensive technical documentation for reference and reporting purposes.

Position Requirements:

To excel in this senior role, candidates must possess:

Degree in Computer Science, Software Engineering, or a related discipline; or equivalent experience.

7+ years of proven experience in:

Software development, with a significant portion in a senior or lead capacity.
Backend development languages such as Python and Node.js
Front-end technologies including React, HTML, CSS.
Cloud platforms like Azure, AWS, GCP, including architecture, CI/CD workflows, and security best practices.
Proficiency in developing, deploying, and managing microservices architecture, with expert knowledge in container technologies such as Docker and Kubernetes.
A solid track record of working with both relational and non-relational databases and an understanding of cloud-based storage solutions.
In-depth experience with Agile and Scrum methodologies, with a strong ability to lead and mentor Agile teams.
Expertise in version control systems, especially Git, with experience in managing complex development workflows.
Exceptional problem-solving, communication, and leadership skills, with a proven ability to drive projects and mentor junior team members.

Nice to Have:

Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, Transformers, and MLOps tools like MLflow, Kubeflow, or SageMaker.

---

Faites partie de notre équipe !

En tant qu’entreprise à la pointe de la révolution de l’intelligence artificielle, Yeji Data Lab collabore avec des clients de renommée internationale pour résoudre leurs défis les plus critiques.

Nous tirons parti des technologies de l’apprentissage automatique (Machine Learning), de l’IA générative et de la recherche opérationnelle pour générer une valeur durable et favoriser l’innovation.

Notre équipe agile et orientée solutions travaille main dans la main avec des clients de diverses régions du monde, avec un accent particulier sur l’Amérique du Nord et le Moyen-Orient, tout en mettant en œuvre un plan stratégique d’expansion vers la région Asie-Pacifique. Nous vous invitons à prendre part à cette aventure et à jouer un rôle central dans notre croissance.

Nous sommes actuellement à la recherche d’un·e ingénieur·e logiciel senior pour collaborer avec notre équipe exceptionnelle de spécialistes en affaires et en intelligence artificielle chez Yeji Data Lab. Le·la candidat·e idéal·e devra posséder idéalement une expérience de livraison de projet pour clients externes ainsi qu’une bonne compréhension des industries technologiques et de l’IA.

Le poste est basé à Montréal, avec des déplacements chez nos clients.

Exigences du poste :

Pour exceller dans ce rôle senior, les candidats doivent posséder :

Un diplôme en informatique, en génie logiciel ou dans un domaine connexe; ou une expérience équivalente.

Responsabilités clés :

En tant que développeur logiciel senior, votre rôle couvrira un large éventail de fonctions critiques :

Concevoir l’architecture, développer et déployer des applications infonuagiques haute performance intégrant des modèles d’apprentissage automatique en environnement de production.
Assurer l’intégration fluide des solutions d’apprentissage automatique avec les systèmes front-end et back-end.
Collaborer avec les scientifiques des données et les ingénieurs afin d’optimiser, de mettre à l’échelle et de déployer efficacement les modèles d’apprentissage automatique.
Concevoir et déployer des architectures infonuagiques avancées (p. ex., AWS, GCP, Azure) pour le développement d’applications cloud-native pilotées par l’IA.
Promouvoir les meilleures pratiques de développement : code maintenable et bien documenté, tests unitaires rigoureux, revues de code et respect des standards.
Superviser la conception et la gestion d’infrastructures de données (bases de données, entrepôts, lacs), en s’appuyant sur SQL, NoSQL et des solutions de stockage infonuagique.
Faciliter la collaboration entre équipes afin d’assurer l’intégration des solutions d’IA et d’ingénierie des données aux systèmes et applications de l’entreprise.
Diriger le dépannage, le débogage et la mise à niveau des applications existantes.
Produire une documentation technique complète à des fins de référence et de production de rapports.

Plus de 7 ans d’expérience avérée dans :

Le développement logiciel, dont une part importante à un niveau senior ou de leadership.
Langages de développement back-end tels que Python et Node.js
Des technologies front-end, notamment React, HTML et CSS.
Des plateformes infonuagiques comme Azure, AWS et GCP, incluant l’architecture, les workflows CI/CD et les meilleures pratiques de sécurité.
Une maîtrise du développement, du déploiement et de la gestion d’une architecture microservices, avec une expertise des technologies de conteneurisation telles que Docker et Kubernetes.
Une solide expérience des bases de données relationnelles et non relationnelles, ainsi qu’une compréhension des solutions de stockage infonuagique.
Une expérience approfondie des méthodologies Agile et Scrum, avec une forte capacité à diriger et à mentorer des équipes Agile.
Une expertise des systèmes de contrôle de version, notamment Git, et une expérience de gestion de workflows de développement complexes.
D’excellentes aptitudes en résolution de problèmes, communication et leadership, avec une capacité démontrée à mener des projets et à encadrer des membres plus juniors de l’équipe.

Atouts

Expérience avec des frameworks/bibliothèques ML (TensorFlow, PyTorch, Scikit-Learn, Transformers) et des outils MLOps (MLflow, Kubeflow, SageMaker).

Apply on LinkedIn About employer

More about this job

Responsibilities

Architect, develop, and deploy high-performance cloud applications that integrate machine learning models with frontend, backend, and data systems. Lead application troubleshooting and upgrades, promote software quality and documentation, and collaborate with data scientists, engineers, and cross-functional teams to deliver scalable AI solutions.

Requirements

Requires a degree in computer science, software engineering, or a related discipline, or equivalent experience, and more than seven years of software development experience, including senior or leadership work. Candidates should have experience with Python or Node.js, React and related frontend technologies, cloud platforms, microservices, containers, databases, Agile/Scrum, and Git, along with strong communication, problem-solving, and mentoring skills.

Skills

Python
Node.js
React
HTML
CSS
Cloud Architecture
CI/CD
Docker
Kubernetes
Microservices
SQL
NoSQL
Agile
Scrum
Git
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Software Development
Artificial Intelligence
Machine Learning
Generative AI
Operations Research
Python
Node.js
React
HTML
CSS
AWS
Azure
Google Cloud Platform
Cloud-Native Applications
CI/CD
Cloud Security
Microservices
Docker
Kubernetes
SQL
NoSQL
Data Warehouses
Data Lakes
Agile
Scrum
Git
TensorFlow
PyTorch
Scikit-Learn
MLOps

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Jobs in Canada