1

Associate Engineer Jobs in Quebec (NOW HIRING)

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com. Job Summary The Release Train Engineer (RTE) is the chief facilitator for a newly ...

As an Associate Technical Director at Ubisoft Montreal, you will support production teams in ... with design, programming, and production teams to help ensure the quality, stability, and ...

The developer will also be in charge of maintaining, updating and fixing bugs in the products their team delivers. The developer will also improve the proprietary game engine as new needs arise to ...

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... You will hold a position as a software developer in the research and development team. You will ...

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Experience working within the Azure DevOps environment. General Criteria * Education: College ...

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Experience working within the Azure DevOps environment. General Criteria * Education: College ...

FEA Engineer - Creaform Engineering - Levis Dive into the world of numerical simulation and apply your structural analysis expertise to exciting, diverse projects. In this role, you will model and ...

Field Service Engineer

Bromont, QC · On-site

CA$35 - CA$50/hr

Associate Degree in Electronics or Engineering * Bachelor's Degree * OEM equipment expertise * Complete assignments with attention to detail and a high degree of accuracy. * Establish and maintain ...

The Job The Customer Success Associate (CSA) supports customers throughout their lifecycle - from ... Post-Launch Engineering, Product, and Revenue Operations to drive adoption, increase upsells ...

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

Position Summary: The Research Associate will support Professor Benjamin Fung in conducting ... PhD in Computer Science, Information Science, or Engineering. * A minimum of five peer-reviewed ...

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

Position Summary: The Research Associate will support Professor Benjamin Fung in conducting ... PhD in Computer Science, Information Science, or Engineering. * A minimum of five peer-reviewed ...

Showing results 21-40

Associate Engineer information

What is an associate engineer?

Associate Engineers are entry-level engineering professionals who support more experienced engineers in designing, developing, testing, and maintaining various projects in their field. They typically work under supervision and assist with tasks such as drafting technical documents, conducting research, analyzing data, and ensuring compliance with industry standards. Associate Engineers often gain practical experience and training to advance to higher-level engineering roles as they develop their skills.

What are some typical challenges associate engineers face when transitioning from academic projects to industry roles?

Associate Engineers often find the transition from academic projects to industry roles challenging due to differences in project scope, teamwork dynamics, and pace. In industry, you’ll likely work on larger, multi-disciplinary teams where effective communication and collaboration are crucial. Additionally, projects often have stricter deadlines and require adherence to established processes and standards, which may be less emphasized in academic settings. Embracing continuous learning and seeking mentorship from senior engineers can help ease this transition and set you up for success.

What are the key skills and qualifications needed to thrive as an associate engineer, and why are they important?

To thrive as an Associate Engineer, you need a solid grasp of engineering principles, problem-solving abilities, and a relevant bachelor's degree. Familiarity with CAD software, industry-specific tools, and basic project management systems is typically required. Strong teamwork, attention to detail, and effective communication set standout candidates apart. These skills and qualities are crucial for delivering accurate technical solutions and contributing effectively to engineering projects.

What is the difference between Associate Engineer vs Mechanical Engineer?

AspectAssociate EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering or related field; entry-level certificationsBachelor's degree in mechanical engineering; professional licensure (optional)
Work EnvironmentDesign, testing, and support roles in engineering teams; often in office or lab settingsDesign, analysis, and manufacturing in industrial or construction settings
Employer & Industry UsageEntry-level position across various industries like manufacturing, construction, and techDesign and development roles primarily in manufacturing, automotive, aerospace, and energy sectors

The main difference between an Associate Engineer and a Mechanical Engineer lies in experience and responsibilities. Associate Engineers are typically entry-level, focusing on supporting engineering tasks, while Mechanical Engineers have more experience and handle complex design and analysis responsibilities. Both roles require a bachelor's degree, but Mechanical Engineers often pursue licensure for advanced roles. The choice depends on your experience level and career goals within engineering fields.

How much does an associate engineer get paid?

An associate engineer's average salary typically ranges from $60,000 to $80,000 annually, depending on industry, location, and experience. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher wages. Salaries often increase with experience and additional responsibilities.

What can I do with an associate engineer's degree in engineering?

An associate engineer's degree prepares individuals for entry-level engineering roles such as technician, assistant engineer, or project support staff. These positions often involve tasks like drafting, testing, data analysis, and using tools like CAD software, with opportunities for on-the-job training and certification to advance in engineering fields.

What is the salary of an associate engineer?

The salary of an associate engineer typically ranges from $60,000 to $80,000 annually, depending on factors such as industry, location, and experience. Entry-level positions may start lower, while experienced associates or those with specialized skills can earn higher wages.

What are the most commonly searched types of Engineer jobs in Quebec?

The most popular types of Engineer jobs in Quebec are:

What are popular job titles related to Associate Engineer jobs in Quebec?

For Associate Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Associate Engineer jobs in Quebec look for?

The top searched job categories for Associate Engineer jobs in Quebec are:

What cities in Quebec are hiring for Associate Engineer jobs?

Cities in Quebec with the most Associate Engineer job openings:

What are popular job titles related to Associate Engineer jobs in QC?

For Associate Engineer jobs in QC, the most frequently searched job titles are:

Infographic showing various Associate Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

AI Engineer/Ingenieur(e) en intelligence artificielle

KPI Digital

Montreal, QC • Hybrid

Full-time

Retirement

Re-posted 11 days ago


Job description

About KPI:

At KPI, you'll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help KPI become even better, too.

At KPI, our vision is to advance the world through the power of people and technology.

Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled expertise, and breadth of services to do what matters for our clients and their customers.

Join a team that is immersed in a high-tech and very dynamic environment where projects and workdays are never the same.

About the Role

We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics team, you will design, build, evaluate, and optimize AI solutions with a strong focus on Large Language Models (LLMs), DevOps pipelines, and Azure cloud services. You are a proactive and autonomous professional who thrives in a fast-paced consulting environment and is capable of delivering end-to-end AI-driven solutions.


Key Responsibilities

  • Design, develop, and deploy AI models and services, with a focus on LLMs and generative AI technologies
  • Evaluate the quality, performance, and ethical alignment of LLM outputs across business use cases
  • Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning
  • Collaborate with cross-functional teams to integrate AI models into client applications and platforms
  • Apply DevOps/MLOps practices for continuous integration, automated testing, and model deployment
  • Lead technical discussions with clients and internal stakeholders in both French and English
  • Maintain high standards of code quality, performance, and documentation
  • Stay up to date with the latest trends and advancements in AI, machine learning, and cloud services
  • Proficient in end-to-end software development with the ability to autonomously architect, code, test, and deploy scalable applications, ensuring alignment with system requirements and DevOps best practices.
  • Strong proficiency in SQL is required, with the ability to write complex queries, optimize database performance, and manage relational data across large-scale systems.


Required Skills and Qualifications

  • 7+ years of experience in software development or AI engineering roles
  • Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
  • Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques
  • Deep understanding of DevOps or MLOps pipelines (CI/CD, version control, containerization, etc.)
  • Experience with cloud infrastructure (preferably Azure) and AI-related services
  • Strong ability to independently manage and deliver projects from concept to production
  • Demonstrated capacity to critically assess model outputs, including bias, hallucination, and relevance
  • Bilingual proficiency in French and English (oral and written) is required
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field


Preferred Qualifications

  • Experience in AI consulting or client-facing environments
  • Knowledge of ethical AI practices and model governance
  • Familiarity with REST APIs, front-end integration, and data visualization tools
  • Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)


Why Join Us

  • Work on high-impact projects that shape the future of AI in business
  • Collaborate with top-tier professionals in an innovation-driven team
  • Access to continuous learning and career growth opportunities

Benefits:

  • The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
  • Permanent, full-time job (40 hours a week).
  • Hybrid (work from home and/or office) and flexible schedule.
  • Competitive salary and bonus structure.
  • Attractive group insurance plan.
  • Retirement savings plan with matching.
  • Family company culture.
  • Flex-Fridays in the summer.
  • Free use of the gym within building.
  • Subsidized catering service & free snacks at the office.
  • Vacation days plus 6 personal days per year.
  • Casual work environment: jeans-friendly!

Proudly a Great Place to Work!

As you bring your experience and skills to KPI Digital, you'll get a unique experience, ambitious growth, and limitless learning in return.As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.

You'll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.


A propos de KPI:

Chez KPI, vous aurez la chance de batir une carriere aussi unique que vous, dans une culture inclusive avec la technologie et le soutien necessaires pour devenir la meilleure version de vousmeme. Votre voix et votre perspective uniques nous aideront a faire evoluer KPI encore davantage.

Notre vision chez KPI est de faire progresser le monde grace au pouvoir des gens et de la technologie.

Fondee il y a plus de 20 ans au Quebec, KPI est reconnue comme un leader canadien dans l'ecosysteme des donnees, de l'analytique et de l'IA. Chaque jour, notre equipe met son expertise de pointe et sa vaste gamme de services au profit de nos clients et de leurs utilisateurs finaux.

Rejoignez une equipe dynamique et technologique ou chaque projet et chaque journee sont differents.

A propos du poste

Nous recherchons un(e) Ingenieur(e) en intelligence artificielle possedant une expertise technique approfondie et une passion pour l'innovation en IA et en apprentissage automatique. Au sein de notre equipe IA et analytique avancee, vous concevrez, developperez, evaluerez et optimiserez des solutions IA, avec une forte emphase sur les grands modeles de langage (LLM), les processus DevOps et les services cloud Azure. Vous etes un(e) professionnel(le) autonome, proactif(ve), capable de livrer des solutions IA de bout en bout dans un environnement de consultation dynamique.

Responsabilites principales

  • Concevoir, developper et deployer des modeles et services d'IA, notamment bases sur les LLMs et les technologies d'IA generative
  • Evaluer la qualite, la performance et l'alignement ethique des resultats des LLM selon les cas d'usage
  • Developper et mettre en uvre des flux de travail IA evolutifs en Python, avec des bibliotheques ML et Azure Machine Learning
  • Collaborer avec des equipes multidisciplinaires pour integrer les modeles IA dans les applications et plateformes clients
  • Appliquer les pratiques DevOps/MLOps pour l'integration continue, les tests automatises et le deploiement de modeles
  • Diriger des discussions techniques avec les clients et les parties prenantes internes en francais et en anglais
  • Maintenir des standards eleves de qualite de code, de performance et de documentation
  • Se tenir a jour des dernieres tendances en IA, apprentissage machine et services infonuagiques
  • Realiser le developpement logiciel complet de facon autonome: architecture, codage, tests et deploiement d'applications evolutives, alignees aux exigences systeme et meilleures pratiques DevOps
  • Maitrise du langage SQL essentielle: rediger des requetes complexes, optimiser les performances et gerer les donnees relationnelles a grande echelle

Competences et qualifications requises

  • 7+ annees d'experience en developpement logiciel ou en ingenierie IA
  • Solide maitrise de Python et des frameworks ML (p.ex.: PyTorch, TensorFlow, HuggingFace)
  • Experience averee avec les LLMs, les pipelines NLP et les techniques de prompt engineering
  • Comprehension approfondie des pipelines DevOps/MLOps (CI/CD, controle de version, conteneurisation, etc.)
  • Experience avec l'infrastructure cloud (preferablement Azure) et les services lies a l'IA
  • Forte autonomie dans la gestion et la livraison de projets, du concept a la mise en production
  • Capacite demontree a evaluer de maniere critique les resultats des modeles (biais, hallucinations, pertinence)
  • Bilinguisme francais/anglais requis (oral et ecrit)
  • Baccalaureat ou maitrise en informatique, en ingenierie ou dans un domaine connexe

Atouts supplementaires

  • Experience en consultation IA ou en contexte client
  • Connaissance des pratiques ethiques en IA et de la gouvernance des modeles
  • Familiarite avec les APIs REST, l'integration frontend et les outils de visualisation de donnees
  • Certification Azure (p.ex.: Azure AI Engineer Associate ou Azure Data Scientist)

Pourquoi nous rejoindre

  • Travailler sur des projets a fort impact qui faconnent l'avenir de l'IA dans les affaires
  • Collaborer avec des professionnels de haut calibre dans une equipe axee sur l'innovation
  • Acces a l'apprentissage continu et a de nombreuses opportunites de croissance

Avantages

  • Rejoindre un reseau professionnel prestigieux et en pleine expansion
  • Poste permanent a temps plein (40heures/semaine)
  • Horaire flexible et modele hybride (teletravail et/ou au bureau)
  • Salaire concurrentiel avec bonification
  • Regime d'assurances collectives attrayant
  • Regime d'epargneretraite avec contribution de l'employeur
  • Culture d'entreprise familiale
  • Vendredis flexibles durant l'ete
  • Acces gratuit au gym de l'immeuble
  • Service de traiteur subventionne et collations gratuites au bureau
  • Jours de vacances + 6 journees personnelles par annee
  • Environnement de travail decontracte: jeans acceptes!

Fierement certifiee Great Place to Work!

En rejoignant KPI Digital, vous mettez a profit vos competences dans un environnement stimulant avec un apprentissage illimite et des opportunites ambitieuses de croissance. Notre culture inclusive et diversifiee alimente notre creativite, notre innovation et notre impact - tant aupres de nos clients que dans la communaute.

Vous ferez partie d'une communaute de collaborateurs intelligents et solidaires, prets a vous guider mais aussi a beneficier de votre expertise. Vous rejoindrez une entreprise tournee vers des solutions technologiques critiques, concues pour ameliorer la facon dont les humains travaillent, interagissent et vivent.