25 meilleures offres (ai/ml engineer, quebec province) (à pourvoir)

AI / ML Engineer
US Mobile —Montréal, QC
- 500 $ par semaine
- Temps plein
- AWS
- Capacités de présentation
- Apprentissage automatique
- Heures d'arrivée et de départ flexibles
Applied AI Engineer
Bounteous —Montréal, QC
- Temps plein
- Java
- Intelligence artificielle
- Python
2026 AI/ML Research Fellow
Intuition Machines, Inc. —Montréal, QC
- Temps plein
- Télétravail
- Doctorat
Postuler rapidement
Gen AI Prompt Engineer
Capgemini —Montréal, QC
- De 32,39 $ à 50,61 $ de l’heure
- Contrat
- Travail hybride
- Azure
- Informatique
- Ingénierie
- Assurance Dentaire
- Assurance Vision
Applied AI Engineer - Engineering Simulation & Design Exploration
Bentley Systems —Ville de Québec, QC
- Apprentissage automatique
- Compétences en communication
- Python
Senior ML Engineer
Saris AI —Montréal, QC
- Temps plein
- Télétravail
- APIs
- Intelligence artificielle
Principal Machine Learning Engineer, General AI, ML & Big Data
C-Serv —Montréal, QC
- Travail hybride
- Informatique
- Azure
- Doctorat
- Assurance Dentaire
- Congés payés
Postuler rapidement
Applied AI Engineer
Norbert Health —Montréal, QC
- Temps plein
- Azure
- Informatique
- Ingénierie
Postuler rapidement
Senior Software Developer
Eddyfi Technologies —Ville de Québec, QC
- Temps plein
- Travail hybride
- Azure
- Informatique
- DevOps
Postuler rapidement
Java Full Stack Engineer
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Temps plein
- Informatique
- DevOps
- Ingénierie
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Senior RPA Automation Engineer
Future Electronics —Kirkland, QC
- À partir de 90 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- DevOps
- Ingénierie
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
Software Dev / Architect - Generative AI (DevOp / MLOp for AI Verification / Validation )
Humanitas Solutions —Montréal, QC
- De 55 000 $ à 110 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Doctorat
- Informatique
- Assurance Dentaire
- Formation linguistique offerte
Postuler rapidement
AI Development Team Lead
Maya HTT —Montréal, QC
- Travail hybride
- Bilingue
- Anglais
- Ressources humaines
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Lead AI/ML Engineer
Xsolla —Montréal, QC
- De 130 000 $ à 160 000 $ par an
- Temps plein
- SQL
- AWS
- Apprentissage automatique
- Assurance Dentaire
- Congés payés
Postuler rapidement
AI Engineer / Ingénieur IA
Klever Programmatic Inc. —Montréal, QC
- Temps plein
- Travail hybride
- Schémas
- Maîtrise
- SQL
Postuler rapidement
Senior Applied AI Scientist
Bentley Systems —Ville de Québec, QC
- Travail hybride
- Azure
- Doctorat
- Anglais
AI Engineer
LGS, une Société IBM / an IBM Company —Montréal, QC
- Temps plein
- Azure
- DevOps
- Java
Postuler rapidement
Software Engineer (Mid to Sr Levels)
nomic —Montréal, QC
- Temps plein
- Informatique
- Informatique
- Schémas
il y a 11 jours
Computer Vision/ML Engineer
Norbert Health —Montréal, QC
- Temps plein
- Doctorat
- Maîtrise
- C++
Postuler rapidement
il y a 1 jour
Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal
Mistral AI —Montréal, QC
- Temps plein
- Bilingue
- Azure
- Doctorat
Founding ML / Data Engineer
Datapace —Montréal, QC
- De 90 000 $ à 115 000 $ par an
- Temps plein
- Travail hybride
- Bilingue
- Informatique
- Ingénierie
Postuler rapidement
Scientifique en IA/ML appliquée (Systèmes ML et LLM) / Applied AI/ML Scientist (ML & LLM Systems)
Explorance —Montréal, QC
- Temps plein
- Anglais
- Esprit d'analyse
- Apprentissage automatique
Postuler rapidement
Stagiaire en Développement Cloud, Intern Cloud Developer
Autodesk —Ville de Québec, QC
- Temps plein
- Travail hybride
- Informatique
- DevOps
- Ingénierie
il y a 6 jours
Machine Learning Engineer (Canada)
Two95 International Inc. —Montréal, QC
- Contrat
- Télétravail
- Informatique
- Java
- Maîtrise
Postuler rapidement
Lead AI & Data Engineer / Lead Ingénieur/ingénieure IA & Données
MIA Innovation —Montréal, QC
- Temps plein
- Travail hybride
- Azure
- Maîtrise
- AWS
Postuler rapidement

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : ai/ml engineer (quebec province)

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AI / ML Engineer

US Mobile
Montréal, QC

Postuler dès maintenant

Détails du poste

Temps plein

Avantages

Heures d'arrivée et de départ flexibles

Compétences

Elasticsearch
Droit
Kubernetes
AWS
Docker
Capacités de présentation
Apprentissage automatique
Traitement du langage naturel
APIs
Intelligence artificielle
Python
Disponibilité élevée

Description complète du poste

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.

We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us the top-rated mobile carrier two years in a row.*

And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.

We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues.

Key Responsibilities:

Design & Deploy Conversational / Multi-Agent LLM Solutions

Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented.
Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues.

Multi-Modal & Multi-Model Integration

Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions.
Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency.

Platform & Pipeline Building

Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data.
Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc.

Optimization & Scale

Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability.
Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve.

Ongoing Innovation & Experimentation

Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval.
Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc.

Qualifications:

Core AI/ML Expertise

3+ years hands-on experience building and deploying machine learning solutions at scale.
Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API.
Experience with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins).
Experienced in building or deploying large language models and related tooling in the AWS Bedrock ecosystem.
Familiarity with multi-agent LLM frameworks or Orchestrations (e.g., specialized agent-based approaches in advanced NLP).

Backend & Data Infrastructure

Proficient in Python or a similar language for data pipelines and model development.
Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices.

Research & Problem-Solving Mindset

Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches.
Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints.

Collaboration & Communication

Comfortable presenting complex ML concepts to non-technical stakeholders
Passion for iterative development—able to pivot based on user feedback and product metrics.

Benefits:

Competitive salary - 130k CAD - 220k CAD (based on experience/location)
Flexible working hours
Supplemental health insurance
Professional development stipend
$500 wfh tech set-up reimbursement

$130,000 - $220,000 a year

Think you could be a fit? Apply to learn more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Founding ML / Data Engineer

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Stagiaire en Développement Cloud, Intern Cloud Developer

Machine Learning Engineer (Canada)

Lead AI & Data Engineer / Lead Ingénieur/ingénieure IA & Données

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : ai/ml engineer (quebec province)

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