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Training And Learning Jobs in Quebec (NOW HIRING)

Caeus

Submarine Operations Training SME

Montreal, QC · On-site +1

Familiarity with modern training technologies, including simulation, e-learning, virtual or augmented reality, and synthetic environments * Experience supporting complex, integrated naval training ...

Purolator

Trainer Operations

Quebec, QC

Maintain and update all training records in the Learning Management System (LMS) for all Operations employees under their responsibility. * Facilitates cross-functional collaboration to ensure ...

Purolator

Trainer Operations

Quebec, QC · On-site

Maintain and update all training records in the Learning Management System (LMS) for all Operations employees under their responsibility. * Facilitates cross-functional collaboration to ensure ...

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Training And Learning information

What jobs make $10,000 a month without a degree?

In training and learning roles, high-paying jobs without a degree are rare; however, some positions like corporate trainers, sales managers, or specialized technical instructors can reach or exceed $10,000 monthly with experience, certifications, and strong skills. These roles often require expertise, industry knowledge, and excellent communication abilities, and they may involve self-employment or working in high-demand sectors.

What are Training and Learning professionals?

Training and Learning professionals are individuals who design, develop, implement, and evaluate educational programs to help employees or organizations build skills and knowledge. They may work as trainers, instructional designers, facilitators, or learning and development specialists. Their main goal is to improve performance, support career growth, and ensure that teams stay current with industry trends and company policies. These professionals often use a variety of methods, such as workshops, e-learning modules, and on-the-job training, to deliver effective learning experiences.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as senior corporate consultants, experienced surgeons, high-level executive coaches, or certain freelance professionals like top-tier consultants and legal experts. These roles often require advanced skills, extensive experience, and sometimes certifications, and they may involve consulting, legal work, or medical procedures performed in high-demand environments.

What are 5 careers in education and training?

Five careers in education and training include teacher, instructional designer, training coordinator, education consultant, and corporate trainer. These roles often require strong communication skills, subject matter expertise, and relevant certifications or degrees. They involve developing curricula, delivering instruction, and assessing learning outcomes in various settings.

What jobs make 5000 a week without a degree?

High-paying jobs that can reach $5,000 a week without a degree often include roles such as commercial truck drivers, real estate brokers, sales managers, and certain skilled trades like electricians or plumbers with experience. These positions typically require specialized skills, certifications, or licenses, and often involve commission, bonuses, or high hourly rates. Success in these roles depends on experience, performance, and industry demand.

What are some common challenges faced by professionals in Training and Learning roles, and how can they be addressed?

Professionals in Training and Learning roles often face challenges such as engaging diverse learners, adapting materials for various learning styles, and keeping up with evolving technologies. These can be addressed by incorporating interactive elements, using a variety of instructional methods, and pursuing ongoing professional development to stay current with industry trends. Collaborating closely with subject matter experts and seeking regular feedback from participants also helps ensure training programs remain effective and relevant.

What are the key skills and qualifications needed to thrive as a Training and Learning Specialist, and why are they important?

To thrive as a Training and Learning Specialist, you need expertise in instructional design, adult learning principles, and strong facilitation skills, often supported by a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools like Articulate or Captivate, and relevant certifications such as CPLP or ATD are typical technical requirements. Exceptional communication, adaptability, and organizational skills help individuals engage diverse learners and manage multiple training initiatives effectively. These competencies ensure high-impact learning experiences that drive employee development and organizational growth.

What is the difference between Training And Learning vs Instructional Designer?

AspectTraining And LearningInstructional Designer
Required CredentialsTypically certifications in training, education, or adult learningOften holds degrees in education, instructional design, or related fields
Work EnvironmentCorporate training departments, educational institutions, online platformsEducational institutions, corporate settings, e-learning companies
Employer & Industry UsageUsed across industries for employee development and onboardingUsed mainly for designing educational content and curricula
Search & Comparison IntentFocuses on training delivery and learning strategiesFocuses on designing and developing instructional materials

Training And Learning professionals focus on delivering training programs and facilitating learning experiences, while Instructional Designers specialize in creating effective educational content and curricula. Both roles are essential in education and corporate development, but their core functions differ in execution and focus.

What are popular job titles related to Training And Learning jobs in Quebec? For Training And Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Training And Learning jobs in Quebec look for? The top searched job categories for Training And Learning jobs in Quebec are:
Training And Learning jobs near you
Infographic showing various Training And Learning job openings in Quebec as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Senior Machine Learning Operations Developer: AI/ML Platform

Senior Machine Learning Operations Developer: AI/ML Platform

Autodesk

Montreal, QC • On-site, Remote

Full-time

Posted 16 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 188 rated software companies

Job description

Job Requisition ID #

26WD98671

Senior Machine Learning Operations Developer: AI/ML Platform

Location: Canada. Open to Toronto, Montreal, Vancouver or Remote Canada

French translation to follow!/Traduction francaise a suivre!

About Autodesk
Autodesk makes software for people who make things. We are a global leader in 3D design, engineering, manufacturing, and entertainment software. Our customers use Autodesk software to design and make the physical and virtual worlds that we live in. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film or played an immersive game, chances are you've experienced what millions of Autodesk customers are doing with our software.

Position Overview

Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled MLOps Engineer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform used in the development of machine learning and generative AI solutions powering Autodesk's suite of products and services. You will collaborate with research and product engineering from various domains including design, construction, manufacturing, and media & entertainment to to support platform operations.

Responsibilities

  • Operational Efficiency: Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices

  • Deployment Automation: Design and implement automated deployment pipelines for machine learning models, ensuring seamless transitions from development to production

  • Scalable Infrastructure: Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing

  • Monitoring and Logging: Develop and maintain robust monitoring and logging systems to track model performance, system health, and overall platform efficiency

  • Collaboration with Data Engineers: Work closely with data engineers to ensure efficient data pipelines for model training and validation

  • Version Control and Model Governance: Implement version control systems for machine learning models and contribute to model governance practices

  • Governance and Trust: Contribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards. Uphold data privacy and ethical considerations, fostering trust in our AI/ML solutions

  • Security and Compliance: Enforce security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform security

  • Continuous Improvement: Identify opportunities for process automation, optimization, and implement strategies to enhance the overall MLOps lifecycle

  • Troubleshooting and Incident Response: Play a key role in identifying and resolving operational issues, contributing to incident response and system recovery

Minimum Qualifications

  • Educational Background: BS or MS in Computer Science, or related field

  • MLOps Experience: 5+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments

  • Infrastructure as Code (IaC): Proficiency in implementing Infrastructure as Code practices using tools such as Terraform or Ansible

  • Containerization: Strong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads

  • CI/CD: Demonstrated experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects

  • Scripting and Automation: Strong scripting skills in Python, Bash, or similar languages for automating operational processe

  • Monitoring Tools: Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance

  • Security Awareness: Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards

  • Collaboration Skills: Excellent collaboration and communication skills, working effectively with cross-functional teams including data engineers, software developers, and researchers

  • Problem-solving Skills: Proven ability to troubleshoot and resolve complex operational issues in a timely manner

Preferred Qualifications

  • Cloud Experience: Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure

  • Database Knowledge: Familiarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes

  • Machine Learning Frameworks: Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes

  • Collaboration Tools: Previous experience with collaboration tools like Git for version control and Jira for project management

  • Agile Methodology: Familiarity with Agile development methodologies and working in an iterative, collaborative environment

______________________________________________________________________________________________________________

Machine Learning Operations Developpeur : Plateforme IA/ML

A propos d'Autodesk

Autodesk cree des logiciels pour les createurs. Nous sommes un leader mondial des logiciels de conception 3D, d'ingenierie, de fabrication et de divertissement. Nos clients utilisent les logiciels Autodesk pour concevoir et creer les mondes physiques et virtuels dans lesquels nous vivons. Si vous avez deja conduit une voiture de haute performance, admire un gratte-ciel imposant, utilise un smartphone, regarde un grand film ou joue a un jeu immersif, il y a de fortes chances que vous ayez fait l'experience de ce que des millions de clients d'Autodesk font avec nos logiciels.

Description du poste

Autodesk, leader mondial des logiciels de conception, d'ingenierie, de fabrication et de divertissement en 3D, recherche un ingenieur MLOps qualifie pour rejoindre son equipe Plateforme IA/ML. Ce poste est essentiel pour assurer la mise en uvre harmonieuse des modeles d'apprentissage automatique et l'efficacite globale de notre plateforme IA/AA de nouvelle generation utilisee dans le developpement de solutions d'apprentissage automatique et d'IA generative qui alimentent la suite de produits et services d'Autodesk. Vous collaborerez avec la recherche et l'ingenierie de produits de divers domaines, notamment la conception, la construction, la fabrication et les medias et divertissements, pour soutenir les operations de la plateforme.

Responsabilites

  • Efficacite operationnelle: Favoriser l'excellence operationnelle de notre plateforme d'IA/ML en mettant en uvre et en optimisant les pratiques MLOps.

  • Automatisation du deploiement : Concevoir et mettre en uvre des pipelines de deploiement automatises pour les modeles d'apprentissage automatique, en assurant des transitions fluides du developpement a la production.

  • Infrastructure evolutive: Collaborer avec des equipes interfonctionnelles pour concevoir, mettre en uvre et maintenir une infrastructure evolutive pour l'entrainement des modeles, l'inference et le traitement des donnees.

  • Surveillance et journalisation: Developper et maintenir des systemes de surveillance et de journalisation robustes pour suivre les performances des modeles, la sante du systeme et l'efficacite globale de la plateforme.

  • Collaboration avec les ingenieurs de donnees: travailler en etroite collaboration avec les ingenieurs de donnees pour garantir des pipelines de donnees efficaces pour l'entrainement et la validation des modeles

  • Controle de version et gouvernance des modeles: mettre en uvre des systemes de controle de version pour les modeles d'apprentissage automatique et contribuer aux pratiques de gouvernance des modeles

  • Gouvernance et confiance: contribuer a la mise en uvre de pratiques robustes de gouvernance des modeles, de systemes de controle de version et de respect des normes de conformite. Respecter la confidentialite des donnees et les considerations ethiques, en favorisant la confiance dans nos solutions d'IA/AA

  • Securite et conformite: appliquer les meilleures pratiques en matiere de securite et les normes de conformite dans tous les aspects des MLOps, en garantissant la confidentialite des donnees et la securite de la plateforme

  • Amelioration continue: identifier les possibilites d'automatisation et d'optimisation des processus, et mettre en uvre des strategies pour ameliorer le cycle de vie global des MLOps

  • Depannage et reponse aux incidents: jouer un role cle dans l'identification et la resolution des problemes operationnels, en contribuant a la reponse aux incidents et a la recuperation du systeme

Qualifications minimales

  • Formation: licence ou master en informatique, ou dans un domaine connexe

  • MLOps Experience: plus de 5 ans d'experience pratique en DevOps et MLOps, avec un accent sur le deploiement et la gestion de modeles d'apprentissage automatique dans des environnements de production

  • Infrastructure as Code (IaC): maitrise de la mise en uvre des pratiques d'infrastructure as code a l'aide d'outils tels que Terraform ou Ansible

  • Conteneurisation: solide expertise des technologies de conteneurisation (Docker, Kubernetes) pour l'orchestration et la mise a l'echelle des charges de travail d'apprentissage automatique

  • CI/CD: Experience averee dans la mise en place et la gestion de pipelines d'integration et de deploiement continus (CI/CD) pour des projets d'apprentissage automatique

  • Scripting et automatisation: Solides competences en scripting en Python, Bash ou dans des langages similaires pour l'automatisation des processus operationnels

  • Outils de surveillance: Familiarite avec les outils de surveillance et de journalisation (par exemple, Prometheus, Grafana, ELK Stack) pour le suivi des performances des systemes et des modeles

  • Sensibilisation a la securite: comprehension des meilleures pratiques en matiere de securite dans le domaine des MLOps, notamment le cryptage des donnees, les controles d'acces et les normes de conformite

  • Capacites de collaboration: excellentes capacites de collaboration et de communication, capacite a travailler efficacement avec des equipes interfonctionnelles comprenant des ingenieurs de donnees, des developpeurs de logiciels et des chercheurs

  • Capacites de resolution de problemes: capacite averee a depanner et a resoudre des questions operationnelles complexes en temps utile

Qualifications preferees

  • Experience du cloud: experience des plateformes cloud, en particulier AWS ou Azure, pour le deploiement et la gestion d'infrastructures d'apprentissage automatique

  • Connaissance des bases de donnees: familiarite avec les bases de donnees et les solutions de stockage de donnees couramment utilisees dans les MLOps, telles que SQL, NoSQL ou les lacs de donnees

  • Cadres d'apprentissage automatique: exposition aux cadres d'apprentissage automatique populaires (TensorFlow, PyTorch) et a leur integration dans les processus MLOps

  • Outils de collaboration: experience prealable des outils de collaboration tels que Git pour le controle de version et Jira pour la gestion de projet

  • Methodologie Agile: familiarite avec les methodologies de developpement Agile et le travail dans un environnement iteratif et collaboratif

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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