ZipRecruiter

Log In

1

Mlops Jobs in Quebec (NOW HIRING)

BRP

Scientifique des données

Laval, QC

Connaissance du cycle de vie MLOps complet : surveillance des modèles, détection des dérives et stratégies de réentraînement * Contributions à des projets libres ou publications témoignant ...

New

BRP

Data Scientist

Longueuil, QC · On-site

Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies * Open-source contributions or publications reflecting thought leadership in data science or AI

New

Accenture

Senior AI Lead: Databricks

Montreal, QC · On-site

Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle. This role requires in-office presence in the local ATC office 3 days per week. Here's What You Need: * Bachelor's degree ...

BRP

Data Scientist

Montreal, QC · On-site

Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies * Open-source contributions or publications reflecting thought leadership in data science or AI

New

BRP

Scientifique des données

Montreal, QC · On-site

Connaissance du cycle de vie MLOps complet : surveillance des modèles, détection des dérives et stratégies de réentraînement * Contributions à des projets libres ou publications témoignant ...

BRP

Data Scientist

Montreal, QC · On-site

Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies * Open-source contributions or publications reflecting thought leadership in data science or AI

BRP

Data Scientist

Montreal, QC · On-site

Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies * Open-source contributions or publications reflecting thought leadership in data science or AI

BRP

Scientifique des données

Montreal, QC

... MLOps DÉMARQUEZ-VOUS Expérience dans la création d'applications ou de preuves de concept alimentées par des LLM, RAG ou des approches de fine-tuning Familiarité avec les agents IA et les outils ...

Simpro Software

Applied AI Engineer

Montreal, QC

Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the infrastructure can scale to meet the demands of various strategic partners. Data Strategy & Collaboration:

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

Help monitor new advances in AI and support their adoption by Desjardins Group 🤖Machine learning operations (MLOPS) * Work alongside data scientists and IT experts on a multidisciplinary squad to ...

Levio

Conseiller.ere en architecture AI

Quebec, QC · On-site

Intervenir en tant qu'expert-conseil dans l'architecture des solutions d'intelligence artificielle et des outils (frameworks) lies a MlOps ; * Guider la conception des solutions en veillant a ...

SYSTRA

... MLOps or experience collaborating with Data Scientists • Microsoft (DP-203) or Databricks certification is a plus Required Experience: • At least 5 years of experience as a Data Engineer • ...

previous page

Showing results 41-60

All JobsMlops JobsMlops Jobs in Quebec

Mlops information

See Quebec salary details

$101.5K

$159.3K

$189.5K

How much do mlops jobs pay per year?

As of Aug 9, 2026, the average yearly pay for mlops in Quebec is $159,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

What are the key skills and qualifications needed to thrive as an MLOps engineer?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are popular job titles related to Mlops jobs in Quebec? For Mlops jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Mlops jobs in Quebec look for? The top searched job categories for Mlops jobs in Quebec are:
What cities in Quebec are hiring for Mlops jobs? Cities in Quebec with the most Mlops job openings:
Mlops jobs near you
Infographic showing various Mlops job openings in Quebec as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 78% In-person, 8% Hybrid, and 14% Remote job distribution, with an average salary of $159,286 per year, or $76.6 per hour.

Developpeur(euse) Logiciel - Equipe Intelligence Artificielle / Software Developer - AI Team

Go RH

Montreal, QC • On-site

Full-time

Re-posted 15 days ago

Job description

Flyscan est a la fine pointe de la technologie en matiere de securite et de protection de l'environnement. Nous avons concu et developpe un systeme d'inspection aerienne capable d'identifier de petites fuites de petrole et de gaz, ainsi que d'autres menaces qui ne peuvent pas etre detectees par l'il humain. Grace a nos logiciels de pointe, a l'IA et a des algorithmes hautement performants, nous aidons les entreprises du secteur de l'energie a reduire les risques environnementaux et a ameliorer la securite en leur fournissant des donnees exploitables, des analyses basees et des solutions GIS.

Alors que nous poursuivons notre croissance, nous sommes a la recherche d'un(e) developpeur(euse) logiciel pour rejoindre notre equipe en intelligence artificielle et jouer un role cle dans la transformation de nos modeles et prototypes de R&D en solutions logicielles, pretes pour la production. Ce role se situe a l'intersection de l'IA et de l'ingenierie logicielle et est essentiel a notre capacite de deployer des solutions d'IA de maniere fiable et a grande echelle.

Vous ferez partie de l'equipe IA, avec un focus sur la couche logicielle de nos produits d'IA, tout en travaillant en etroite collaboration avec nos equipes logicielles responsables des systemes principaux. Cela inclut de contribuer directement a leurs bases de code afin d'integrer nos solutions d'IA dans nos systemes au sol et embarques. En parallele, vous collaborerez avec des specialistes en IA pour concevoir et mettre en place l'infrastructure necessaire au deploiement, a la supervision et a la mise a l'echelle de nos modeles en conditions reelles. Un interet pour l'IA est important, mais il s'agit avant tout d'un role en developpement logiciel dans un environnement oriente IA.

Votre Role :

  • Collaborer avec les membres de l'equipe pour concevoir, developper et maintenir des solutions logicielles fiables et coherentes
  • Participer a l'ensemble du cycle de developpement logiciel, incluant l'analyse, la conception, l'implementation, les tests, le deploiement et la maintenance
  • Ecrire du code clair, efficace, maintenable et bien teste, en respectant les standards et les bonnes pratiques
  • Transformer du code de recherche, prototypes, notebooks, scripts en modules de production robustes, testes et documentes
  • Concevoir et maintenir des pipelines automatises de donnees et d'entrainement de modeles, MLOps
  • Integrer les differents composants logiciels et participer aux tests et a la validation au niveau systeme
  • Identifier, analyser et corriger les defauts, les problemes de performance et la dette technique
  • Ameliorer en continu la qualite, la performance, la securite et la scalabilite des logiciels
  • Contribuer a l'evolution des produits par des idees de nouvelles fonctionnalites, d'ameliorations et d'innovations techniques
  • Documenter le code, les systemes, les processus et les flux de travail afin de faciliter la maintenabilite et le partage des connaissances
  • Se tenir a jour sur les technologies, outils et bonnes pratiques du secteur
  • Participer aux activites d'estimation, de planification et d'amelioration continue
  • Supporter les besoins operationnels, incluant la supervision, le depannage et le support en production lorsque requis

Ce Que Nous Recherchons :

  • Tres autonome et capable de concevoir et developper des solutions logicielles robustes de facon independante
  • A l'aise de prendre en charge des problematiques de bout en bout, de la conception jusqu'a la mise en production, tout en collaborant efficacement avec plusieurs equipes
  • Fort interet pour le developpement logiciel et curiosite pour l'intelligence artificielle et l'apprentissage automatique
  • A l'aise de travailler sur plusieurs systemes et technologies
  • Utilise activement des outils d'IA dans son flux de developpement logiciel
  • A l'aise de sortir de sa zone de confort et d'apprendre de nouvelles competences
  • Apprecie travailler dans un environnement Agile dynamique et partager ses connaissances avec l'equipe
  • A l'aise de dire je ne sais pas et de prendre l'initiative de trouver la reponse

Exigences Techniques :

  • Diplome universitaire ou collegial en informatique, en genie logiciel ou dans un domaine connexe
  • 5-10 ans d'experience en developpement logiciel avec .NET et Python, et une bonne maitrise des bonnes pratiques en ingenierie logicielle
  • Experience avec Docker, CI/CD, Linux et les environnements cloud, Azure, AWS ou GCP
  • Connaissance de PHP, React, Git et GitLab, un atout
  • Interet pour les concepts d'IA et de ML, un atout, incluant des frameworks comme PyTorch, TensorRT, ONNX, ainsi que des pratiques MLOps telles que la gestion des modeles, les pipelines de donnees et le suivi des modeles en production
  • Maitrise de l'anglais requise, a l'oral et a l'ecrit, le francais est un atout

Ce Que Nous Offrons :

  • Un environnement de travail flexible combinant teletravail et collaboration en personne dans nos bureaux de Quebec, Montreal et Bromont
  • Adopte ton propre rythme avec des horaires flexibles
  • Profite de conges de maladie illimites pour prioriser ta sante sans souci
  • Programme d'assurances collectives
  • Acces a une plateforme de telemedecine
  • Salaire competitif base sur ton experience et les standards du marche
  • Developpe tes competences grace a des opportunites de formation et de perfectionnement
  • Participe a des vols d'essai et vois notre technologie en action !

About Flyscan Systems Inc.

Flyscan is at the cutting edge of technology in security and environmental protection. We have created and developed a remote sensing system capable of precisely identifying small oil and gas leaks and other threats that cannot be detected by the human eye. Through state-of-the-art software, advanced AI, and highly efficient algorithms, we help energy companies reduce environmental risk, improve safety, and meet regulatory requirements by delivering actionable data and GIS-driven insights.

As we continue to scale, we are looking for a Software Developer to join our Artificial Intelligence team and play a key role in turning our R&D models and prototypes into robust, production-ready software. This role sits at the intersection of AI and software engineering and is critical to our ability to deploy AI solutions reliably and at scale.

You will be part of the AI team, focusing on the software layer of our AI products, while working closely with our software teams who own the core systems. This includes contributing directly to their codebases to integrate our AI products into both our ground and flight systems. In parallel, you will collaborate with AI specialists to design and build the infrastructure required to deploy, monitor, and scale our models in real-world operations.

Your Role:

  • Collaborate with team members to design, build, and maintain reliable, cohesive software solutions
  • Participate in the full software development lifecycle, including analysis, design, implementation, testing, deployment, and maintenance
  • Write clear, efficient, maintainable, and well-tested code following established standards and best practices
  • Transform research code, prototypes, notebooks, scripts into robust, tested, and documented production modules
  • Design and maintain automated data and model training pipelines, MLOps
  • Integrate software components and participate in system-level testing and validation
  • Identify, analyze, and resolve defects, performance issues, and technical debt
  • Continuously improve software quality, performance, security, and scalability
  • Contribute ideas for new features, improvements, and technical innovations
  • Document code, systems, processes, and workflows to support maintainability and knowledge sharing
  • Stay current with relevant technologies, tools, and industry best practices
  • Participate in estimation, planning, and continuous improvement activities
  • Support operational needs, including monitoring, troubleshooting, and production support when required

What We Are Looking For:

  • Highly autonomous and capable of independently designing and implementing robust software solutions
  • Comfortable taking ownership of problems from concept to production while collaborating effectively with multiple teams
  • Strong interest in software engineering and curiosity for artificial intelligence and machine learning
  • Enjoy solving complex technical problems with pragmatic and robust solutions
  • Comfortable working across multiple systems and technologies
  • Actively leverage AI tools as part of your software development workflow
  • Willing to step out of your comfort zone and learn new skills
  • Enjoy working in a dynamic Agile environment and sharing knowledge with team members
  • Comfortable saying "I don't know" and taking ownership to find the answe

Technical Requirements:

  • University or college degree in computer science, software engineering, or a related field
  • 5-10 years of experience as a software developer with .NET and Python, with a solid understanding of software engineering best practices
  • Experience with Docker, CI/CD, Linux, and cloud environments, Azure, AWS, or GCP
  • Knowledge of PHP, React, Git, and GitLab is an asset
  • Interest in AI/ML concepts is an asset, including frameworks such as PyTorch, TensorRT, ONNX, and MLOps practices such as model management, data pipelines, and model monitoring in production
  • Proficiency in English is required, written and spoken; French is an asset

What we Offer:

  • We offer a flexible work environment with a balance of remote work and in-person collaboration from our Quebec, Montreal, and Bromont offices.
  • Set your own rhythm with flexible hours
  • Enjoy unlimited sick days so you can prioritize your health without worry
  • Collective insurance program
  • Access to a telemedicine platform
  • Get a competitive salary based on your experience and market standards
  • Grow with opportunities for training and skill development
  • Take part in test flights and see our technology in action!
  • Team activities remotely or in person organized by our social club
  • An awesome team!
apply for this job

Apply