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Added 2 hours ago
O
Senior AI Developer
OSEDEA
Montreal, QC
- Full-time
As a Senior AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the…
Added 2 hours ago
O
Applied AI Scientist
OSEDEA
Montreal, QC
- Full-time
MLOps (training, deployment, monitoring, reproducibility, CI/CD for ML)
Added 1 day 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…
Added 1 day ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices.
Added 1 day ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 day ago
H
Cloud Architect
Hays
Toronto, ON
- Contract
Establish architectural patterns for prompt management, evaluation, observability, model lifecycle management, LLMOps/MLOps, and AI application monitoring.
Added 1 day ago
AS
Data & Analytics Solutions Architect
Apex Systems
Mississauga, ON
- $45 to $50 USD / hour
- Contract
Familiarity with Power Platform, Copilot Studio, conversational analytics, MLOps concepts, Airflow, MLflow, Docker, Kubernetes, or DevOps practices.
Added 2 days ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
Added 2 days ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
…and you will measure your success in platform reliability, developer productivity, and dollars…
Added 2 days ago
O
Développeur(se) en IA
Onepoint
Montreal, QC
- Full-time
Maîtrise des pratiques MLOps / LLMOps, de l’intégration par API et du déploiement en production;
Added 2 days ago
W
Développeur(se) en IA
Wepoint
Montreal, QC
- Full-time
Maîtrise des pratiques MLOps / LLMOps, de l’intégration par API et du déploiement en production;
Added 2 days ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and…
Added 2 days 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 2 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Move prototypes into scalable production solutions using established MLOps and LLMOps practices.
Added 2 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Move prototypes into scalable production solutions using established MLOps and LLMOps practices.
Added 2 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
Move prototypes into scalable production solutions using established MLOps and LLMOps practices.
Added 2 days ago
P
Senior Forward Deployed Engineer – AI & Data Engineering
PeoplePilot
Toronto, ON
- Full-time
- Implement **MLOps/LLMOps** capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Added 2 days ago
P
Data & Analytics Leader – BFSI
PeoplePilot
Toronto, ON
- Full-time
- Knowledge of AI, Machine Learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
Added 2 days ago
SS
Head of Software & Perception
SkyCan Systems
Barrie, ON
- Full-time
…visual navigation for GNSS-degraded and denied operation; data/MLOps pipeline ownership from collection and labelling through model iteration and deployment to the target…
Added 2 days ago
B
Staff Data Scientist
BMO
Toronto, ON · BMOPLACE
- Full-time
…who can mentor team members, promote software engineering and MLOps best practices, improve code quality through design and code reviews, and help drive technical excellence across the…
Added 2 days ago
M
Director, Global Technology & Operations Strategy & Transformation
Manulife
Toronto, ON
- Full-time
Added 2 days ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 2 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Productionization, MLOps, & System Engineering
Added 2 days ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Partner with data science teams to prepare feature-ready datasets for predictive analytics, machine learning, and MLOps workloads.
Added 2 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

Onepoint

Développeur(se) en IA

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: 2 à 5 ans d'expérience pertinentel
Posting language: English · French
Posted: Oct 30, 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

Nous sommes à la recherche d'un(e) Développeur(se) en IA pour rejoindre notre équipe.

Responsabilités

Conevoir, développer, tester et déploier des solutions d’intelligence artificielle (apprentissage automatique, IA générative, agents intelligents, automatisation) répondant aux besoins d’affaires;
Collaborer avec les analystes, les architectes et les équipes de données pour intégrer ces solutions aux systèmes existants, en assurer la performance, la sécurité et la fiabilité en production, et veiller au respect des principes d’IA responsable et des standards de l’organisation.

Qualifications

2 à 5 ans d'expérience pertinentel
Maîtrise de langages de programmation tels que Python et des cadres d’apprentissage automatique;
Expérience en IA générative (grands modèles de langage, ingénierie de requêtes, RAG, agents);
Connaissance des plateformes infonuagiques et des services d’IA (ex. : Azure AI, Azure OpenAI, Copilot Studio);
Maîtrise des pratiques MLOps / LLMOps, de l’intégration par API et du déploiement en production;
Connaissance des principes d’IA responsable, de sécurité et de protection des données;
Capacité à vulgariser des concepts techniques et à collaborer avec des équipes multidisciplinaires.

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

Design, develop, test, and deploy artificial intelligence solutions including machine learning and generative AI to meet business needs. Collaborate with cross-functional teams to integrate these solutions into existing systems while ensuring performance, security, and adherence to responsible AI principles.

Requirements

Candidates must have 2 to 5 years of relevant experience and proficiency in Python and machine learning frameworks. Strong knowledge of generative AI, MLOps, and cloud-based AI platforms is required, along with the ability to communicate technical concepts effectively.

Skills

Python
Machine learning
Generative AI
Large language models
Prompt engineering
RAG
Intelligent agents
Azure AI
Azure OpenAI
Copilot Studio
MLOps
LLMOps
API integration
Data protection
Technical communication

Benefits

3 weeks of vacation
Comprehensive group insurance
Group RRSP contribution
Flexible work arrangements
Annual IT equipment budget
Flexible working hours
Career development
Training and certifications

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Python
Azure AI
Azure OpenAI
Copilot Studio
MLOps
LLMOps
Large Language Models
Prompt Engineering
RAG
Intelligent Agents
Automation
API
Data Protection
Responsible AI
Digital Transformation
Cloud Computing
Software Development

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