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Added 13 days ago
Sr. Machine Learning Engineer
Insight
Remote, Canada
Full-time · Remote
As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on…
Added 29 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
…solutions for our clients. You will lead teams, engage with senior client stakeholders, and translate complex business challenges into secure, ethical and high‑impact AI/ML solutions. This…
Added 14 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 15 days ago
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 15 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 16 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 25 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 29 days ago
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 21 days ago
Generative AI Engineer
PrecisionERP / PrecisionIT
Toronto, ON
Contract
PrecisionERP/IT is seeking a Senior Generative AI Engineer to design, build, and scale enterprise AI systems, Generative AI applications, and intelligent agents.
Added 21 days ago
Staff Software Engineer
kadence
Toronto, ON
Full-time
They’re looking for a Staff Software Engineer, AI to provide hands-on technical leadership across the design, development, and scaling of enterprise-grade AI systems. This is a senior…
Added 26 days ago
Director, Program Delivery
RBC
Vancouver, BC
Full-time
Experience delivering AI, machine learning, data, cloud, or platform solutions into production environments.
Added 26 days ago
Senior Software Engineer, GenAI Workflows
Eyeline
Vancouver, BC
$165,000 to $200,000 CAD / year
Full-time
As Senior Software Engineer within GenAI Workflows, you will collaborate closely with GenAI-powered VFX stakeholders to understand user needs and use your deep understanding of ML processes…
Added 26 days ago
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 27 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
Added 22 days ago
AI/ML Engineer
Katalyst Data Management
Calgary, AB
Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 27 days ago
Senior Machine Learning Developer
BMO
Toronto, ON
Full-time
BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python…
Added 26 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
Full-time · Remote
We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as a discipline at Flinks. You'll own the data and ML platform that turns models into reliable…
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
Senior Machine Learning Engineer
J&M Group
Toronto, ON
Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 28 days ago
Senior Machine Learning Developer
BMO
Toronto, ON · BMOPLACE
Full-time
BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python…
Added 1 month ago
Solutions Architect
Shakudo
Toronto, ON
Full-time
Work with cutting-edge technologies in machine learning and high-performance computing
Added 1 month ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
…AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI…
Added 1 month ago
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
Full-time
Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Added 2 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 1 month ago
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
Full-time
We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized…

Closed listing

Yeji Data Lab

Senior Software Engineer

Montreal, QC, Canada

Job type: Full-time
Closing date: Sep 27, 2026
Experience: 7+ years of proven experience in:
Posting language: English · French
Posted: Aug 28, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 4 mins ago
Senior Software Engineer (Python + DevOps)
Keasis · Montreal, QC, Canada
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Relay · Remote, Canada
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Original job description

Archived listing. The details below describe a past opening.

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).

About employer

More about this job

Responsibilities

Architect, develop, and deploy high-performance cloud applications that integrate machine learning models into production environments. Lead the design of cloud-native AI architectures and manage sophisticated data infrastructures while mentoring junior team members.

Requirements

Requires a degree in Computer Science or Software Engineering with over 7 years of experience in full-stack development and cloud platforms. Proficiency in microservices, containerization, and Agile methodologies is essential.

Skills

Python
Node.js
React
AWS
Azure
GCP
Docker
Kubernetes
Microservices
SQL
NoSQL
Git
Agile
Scrum
Machine Learning
Cloud Architecture

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
Operations Research
Python
Node.js
React
HTML
CSS
Azure
AWS
GCP
CI/CD
Microservices
Docker
Kubernetes
SQL
NoSQL
Agile
Scrum
Git
TensorFlow
PyTorch
Scikit-Learn
Transformers
MLflow
Kubeflow
SageMaker
MLOps
Cloud-Native
Data Lakes

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