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Added 39 mins ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong expertise in MLOps concepts and ML lifecycle management.
Added 39 mins ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 39 mins ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 39 mins ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Exposure to AI or GenAI project delivery - such as AI readiness/maturity assessments, AI strategy roadmaps, model deployment, MLOps, or AI governance frameworks - is strongly preferred.
Added 1 hour ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
ET
AWS SageMaker / Machine Learning Engineer
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Toronto, ON
- Contract
Experience implementing MLOps pipelines and ML lifecycle management
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…Python/PySpark, Large Language Models (LLMs), SQL, APIs, and Data/MLOps with experience integrating AI solutions into enterprise…
Added 1 hour ago
AS
Senior AWS Snowflake Architect
Aaura Softwares
Markham, ON
- Temporary
Added 1 hour ago
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Data Science Manager
Askuity
Toronto, ON
- Full-time
Added 2 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
Added 4 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 4 hours ago
N
Artificial Intelligence (AI) Governance Specialist
NuEnergy.ai
Ottawa, ON
- Full-time
…cloud platforms (e.g., AWS, Azure, Google Cloud), APIs, and MLOps pipelines.’Experience working with AI evaluation methods and risk analysis…
Added 7 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Deploy and operate AI solutions in non-production and production environments using established DevSecOps and MLOps practices.
Added 16 hours ago
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Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 16 hours ago
TI
HVAC engineer
Trane Italia
Montreal, QC
- Full-time
Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions.
Added 16 hours ago
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Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Accompagner les équipes dans l’adoption des pratiques MLOps et AI Ops.
Added 17 hours ago
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Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility
Added 17 hours ago
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Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Accompagner les équipes dans l’adoption des pratiques MLOps et AI Ops.
Added 17 hours ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
MLOps: design and own automated pipelines for training, deployment, and monitoring so models stay accurate in production at scale
Added 17 hours ago
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Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Added 18 hours ago
AI
AWS SageMaker/MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
Detailed Job Description: We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying,…
Added 18 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 18 hours ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You own the entire ML lifecycle end-to-end, from data pipelines with SQL and PySpark to CI/CD, MLOps, model retraining, drift detection, and quality governance.
Added 19 hours ago
SG
Senior Product Solutions Analyst
Scotia Global Asset Management
Toronto, ON
- Full-time
Strong understanding of classical machine learning, model development, MLOps, and generative AI
Added 19 hours ago
M
AVP, AI
Manulife
Toronto, ON
- Full-time
Hands-on engineering expertise in Python, cloud ML environments, MLOps, vector databases, LLM-Ops, and modern evaluation frameworks; experience with Agentic AI architectures, orchestration…

Wepoint

DevOps IA

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: Minimum de 5 ans d’expérience en DevOps ou en ingénierie SRE (Site Reliability Engineering);
Posting language: English · French
Posted: Sep 11, 2026

Original job description

English section of this bilingual listing.

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

Minimum of 3 weeks of vacation starting from the first year;
Comprehensive group insurance with a generous employer contribution;
Employer contribution to a group RRSP;
Full remote work flexibility: Hybrid, Remote, or On-site;
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
Annual IT equipment budget;
A balanced work environment with flexible working hours;
Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
An international community of experts ready to share their knowledge;
A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Permis CNESST : AP-2504754, AP-2504755, AR-2504756

Read the full bilingual original

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

Dans le cadre des projets d’innovation TI, vous intégrerez l’équipe AI Factory / Innovation à titre de DevOps IA. Vous serez responsable de la conception, de l’implantation et du maintien des infrastructures, des pipelines CI/CD et des environnements nécessaires au déploiement et à l’exploitation des solutions d’intelligence artificielle en production.

Vous travaillerez en mode agile, en étroite collaboration avec les développeurs IA, les scientifiques de données (Data Scientists), les architectes de solutions et les équipes d’infrastructure. Vous jouerez un rôle clé dans l’industrialisation des solutions d’IA et l’automatisation des processus de déploiement.

À titre d’expert(e) en programmation assistée par l'IA, vous utiliserez des outils d’IA générative (GitHub Copilot, Cursor, Claude, ChatGPT) afin d’accélérer la création de scripts, de configurations d’Infrastructure as Code et de pipelines CI/CD, ainsi que pour résoudre rapidement les incidents de production.

Responsabilités

Concevoir et mettre en œuvre des architectures infonuagiques (Cloud) pour les solutions d’IA (évolutives, sécurisées et optimisées);
Déployer et gérer des infrastructures sous forme de code (Infrastructure as Code) avec Terraform et CloudFormation;
Mettre en place des pipelines CI/CD pour les applications et les modèles d’IA;
Utiliser de façon experte le vibe coding pour générer des scripts, des configurations et des automatisations;
Automatiser les déploiements et les retours arrière (rollback) à l’aide de stratégies Blue/Green et Canary;
Configurer les outils de surveillance, d’alerte et d’observabilité des modèles d’IA en production;
Gérer les environnements (développement, préproduction, production) et les contrôles d’accès;
Optimiser les coûts et les performances infonuagiques (GPU, calcul, stockage);
Accompagner les équipes de développement sur les outils et les meilleures pratiques DevOps;
Produire la documentation technique des infrastructures et des procédures;
Mettre en œuvre les pratiques DevSecOps et assurer la conformité en matière de sécurité;
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.

Qualifications

Minimum de 5 ans d’expérience en DevOps ou en ingénierie SRE (Site Reliability Engineering);
Expérience démontrée en programmation assitée par l'IA utilisant des outils d’IA pour générer des scripts, des configurations et diagnostiquer des incidents;
Expertise en MLOps et en déploiement de modèles d’IA en production;
Maîtrise des plateformes infonuagiques (AWS, Azure, GCP) et des services d’IA associés;
Expertise en Infrastructure as Code (Terraform, CloudFormation, ARM Templates);
Solides compétences en conteneurisation et orchestration (Docker, Kubernetes, Helm);
Expertise CI/CD (GitLab CI, GitHub Actions, Jenkins, Azure DevOps);
Connaissance des outils MLOps (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines);
Excellentes compétences en scripting (Bash, Python) et en automatisation;
Expérience avec les solutions de surveillance et d’observabilité (Prometheus, Grafana, ELK, DataDog);
Connaissance des pratiques de sécurité DevSecOps;
Expérience en gestion des secrets et des configurations (Vault, AWS Secrets Manager);
Atout : expérience avec les GPU et l’optimisation des ressources dédiées à l’IA;
Excellente communication en français et en anglais. L'anglais est requis, le poste demandant de communiquer avec des clients et des partenaires situés à l'extérieur du Québec.

Seuls les candidat(es) légalement autorisés(ées) à travailler pour tout employeur au Canada seront considérés(ées)

Wepoint Benefits

Minimum of 3 weeks of vacation starting from the first year;
Comprehensive group insurance with a generous employer contribution;
Employer contribution to a group RRSP;
Full remote work flexibility: Hybrid, Remote, or On-site;
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
Annual IT equipment budget;
A balanced work environment with flexible working hours;
Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
An international community of experts ready to share their knowledge;
A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Permis CNESST : AP-2504754, AP-2504755, AR-2504756

Apply About employer

More about this job

Responsibilities

You will be responsible for designing, implementing, and maintaining cloud infrastructures and CI/CD pipelines to support AI solutions in production. You will collaborate with data scientists and developers to industrialize AI models while utilizing generative AI tools to automate deployment processes.

Requirements

Candidates must have at least 5 years of experience in DevOps or SRE roles with a strong background in MLOps and cloud platforms. Proficiency in Infrastructure as Code, containerization, and scripting languages like Python or Bash is required.

Skills

DevOps
SRE
MLOps
Terraform
CloudFormation
Docker
Kubernetes
CI/CD
Python
Bash
AWS
Azure
GCP
Generative AI
DevSecOps
Observability

Benefits

3 weeks of vacation
Group insurance
Group RRSP contribution
Full remote work flexibility
Annual IT equipment budget
Flexible working hours
Career development
Training and certifications

Visa sponsorship

Not detected in the job text

Keywords

DevOps
AI Factory
MLOps
Infrastructure as Code
Terraform
CloudFormation
CI/CD
Docker
Kubernetes
Helm
AWS
Azure
GCP
Python
Bash
Generative AI
GitHub Copilot
Cursor
Claude
ChatGPT
Prometheus
Grafana
ELK
DataDog
DevSecOps
Vault
GPU
Blue/Green Deployment
Canary Deployment
SRE

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