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Added 12 mins ago
Engagement & Communications Consultant - DND
49 Solutions
Ottawa, ON
$100,000 to $130,000 CAD / year
Full-time
49 Solutions is currently seeking two experienced Engagement and Communications Consultants for an upcoming opportunity supporting DND.
Added 12 mins ago
Auto Sales Consultant
Dueck Auto Group
Vancouver, BC
Full-time
Understand customer needs and recommend the right vehicles, products, and solutions.
Added 13 mins ago
AI Business Analyst
Bluum
Markham, ON
Full-time
Three or more years as a business analyst, sales operations analyst, revenue operations analyst or implementation consultant.
Added 13 mins ago
Senior Manager, Credit Management
TD
Toronto, ON
Full-time
Act as a consultant to the team in resolving customer operational and credit issues and when structuring new credit requests to deliver a positive customer experience
Added 13 mins ago
Bilingual Financial Service Consultant- Insurance
Sun Life
Toronto, ON · Ottawa, ON · Waterloo, ON · Montreal, QC · ON · NB · NS · MB · AB · BC · Sun Life Montreal Metcalfe
Full-time
As a Financial Services Consultant (FSC) you are a self-starter who enjoys building relationships, managing a pipeline of leads and showcasing the value Sun Life brings. The prospect of…
Added 13 mins ago
Retail Sales Consultant
Kognitive Sales Solutions
Kitchener, ON
Part-time
Are you someone who lights up a room and genuinely enjoys connecting with people? Kognitive Sales Solutions is hiring Retail Sales Consultant across Canada to represent one of the country's…
Added 13 mins ago
Retail Sales Consultant
Kognitive Sales Solutions
Guelph, ON
Full-time
Are you someone who lights up a room and genuinely enjoys connecting with people? Kognitive Sales Solutions is hiring Retail Sales Consultants across Canada to represent one of the…
Added 13 mins ago
Retail Sales Consultant
Kognitive Sales Solutions
ON · Simcoe, Ontario
Full-time
Are you someone who lights up a room and genuinely enjoys connecting with people? Kognitive Sales Solutions is hiring Retail Sales Consultant across Canada to represent one of the country's…
Added 13 mins ago
Retail Sales Consultant
Kognitive Sales Solutions
Cambridge, ON
Part-time
Are you someone who lights up a room and genuinely enjoys connecting with people? Kognitive Sales Solutions is hiring Retail Sales Consultant across Canada to represent one of the country's…
Added 13 mins ago
Retail Sales Consultant
Kognitive Sales Solutions
Winnipeg, MB
Part-time
Are you someone who lights up a room and genuinely enjoys connecting with people? Kognitive Sales Solutions is hiringRetail Sales Consultants across Canada to represent one of the country's…
Added 13 mins ago
OpenStack Cloud Engineer Consultant for SSC
49 Solutions
Remote, Canada
Remote
49 Solutions is seeking an experienced OpenStack Cloud Engineer to support an opportunity with Shared Services Canada (SSC).
Added 13 mins ago
Engagement & Communications Consultant - DND
49 Solutions
Remote, Canada
Remote
49 Solutions is currently seeking two experienced Engagement and Communications Consultants for an upcoming opportunity supporting DND.
Added 13 mins ago
Regional Sales Representative
ASSA ABLOY
Vaughan, ON
Experience selling opening solutions as a consultant
Added 13 mins ago
Business Development Representative
ASSA ABLOY
Vaughan, ON
Experience selling opening solutions as a consultant
Added 27 mins ago
Business Analyst (Salesforce)
TekStaff IT Solutions
Toronto, ON
Contract
Ensure solutions align with Wealth Management processes and regulatory expectations
Added 27 mins ago
Gestionnaire principal(e), Consolidation / Senior Manager, Financial Consolidation
Fuze HR Solutions
Montreal, QC
$120,000 to $140,000 CAD / year
Full-time
Added 27 mins ago
Microsoft 365 Collaboration & Solutions Specialist
Sky Systems, Inc. (SkySys)
Montreal, QC
Contract
The consultant will partner with business stakeholders to modernize processes, develop digital workplace solutions, automate workflows, and support a secure and well-governed Microsoft 365…
Added 27 mins ago
OpenStack Cloud Engineer Consultant for SSC
49 Solutions
Ottawa, ON
$150,000 to $200,000 CAD / year
Full-time
49 Solutions is seeking an experienced OpenStack Cloud Engineer to support an opportunity with Shared Services Canada (SSC).
Added 28 mins ago
Architecte de solutions PLM/PLM Solution Architect
Capgemini
Montreal, QC
À titre d’architecte de solutions PLM (Gestion du cycle de vie des produits), vous combinerez une solide expertise technique en planification avec d’excellentes compétences en gestion de…
Added 28 mins ago
Associate Financial Consultant - 34th at Victoria
Assiniboine Credit Union
Brandon, MB
Full-time
As part of a collaborative team of consultants within the credit union, the Associate Financial consultant offers clear, practical financial guidance at the introductory level. The role…
Added 40 mins ago
Product & Pricing Consultant III (35726)
Myticas Consulting
Toronto, ON
Full-time
We are seeking an experienced Product & Pricing Consultant III to support the implementation of SaaS-based product and pricing solutions within banking and financial services.
Added 40 mins ago
French-Speaking Functional Analyst, Banking and ECM (35830)
Myticas Consulting
Montreal, QC
Contract
…to support a major organizational integration program. The consultant will work with Product Owners, business partners and IT teams to translate business needs into functional solutions…
Added 40 mins ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 40 mins ago
SOLUTION ARCHITECT TECHNICAL ARCHITECT (35734)
Myticas Consulting
Toronto, ON
Full-time
…Architect with strong experience delivering complex enterprise SaaS solutions within Banking, Financial Services, or FinTech…
Added 41 mins ago
Manager, Store Design
Loblaw Companies Limited
Brampton, ON
Full-time
…the customer experience, elevate brand standards, and deliver solutions that align with budget, schedule, operational, and business…

Autodesk

Senior Machine Learning Developer, 3D Geometry & Multimodal AI

Greater Montreal Metropolitan Area, QC, Canada

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English · French
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and developers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

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 $123,000 and $180,400. 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.

Belonging

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

Are you an existing contractor or consultant with Autodesk?

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

Read the full bilingual original

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and developers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

26WD99904, Développeur en apprentissage automatique : géométrie 3D et IA multimodale

Aperçu du Poste

Nous recherchons un développeur senior en apprentissage automatique chargé de concevoir, développer et déployer des solutions d’apprentissage automatique pour les fonctionnalités de nouvelle génération basées sur l’IA au sein des produits Autodesk. Le candidat idéal possède une expertise couvrant l’ensemble du cycle de vie de l’apprentissage automatique, notamment la recherche, l’expérimentation, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production.

Vous travaillerez en étroite collaboration avec des chercheurs et des développeurs afin de mettre au point des solutions d’IA innovantes impliquant la géométrie 3D, l’IA multimodale et l’IA générative, contribuant ainsi à transformer la recherche en fonctionnalités produit prêtes à être mises en production. Vous aimez résoudre des problèmes techniques complexes, explorer de nouvelles idées et collaborer avec différentes équipes pour fournir des solutions d’apprentissage automatique évolutives et de haute qualité.

Responsabilités

Concevoir, développer et optimiser des modèles d’apprentissage automatique pour des fonctionnalités de produits basées sur l’IA impliquant la géométrie 3D, l’IA multimodale et l’IA générative
Construire et maintenir des pipelines de données et des workflows d’apprentissage automatique évolutifs pour la préparation des données, l’entraînement des modèles, l’évaluation et l’inférence
Travailler avec des ensembles de données et des représentations complexes pour l’entraînement, l’évaluation et l’analyse des modèles
Concevoir et mettre en œuvre des méthodologies d’évaluation, des tests de performance et des expériences pour mesurer les performances, la robustesse et la qualité des modèles
Collaborer avec des chercheurs et des développeurs pour transformer des idées expérimentales en fonctionnalités de produit évolutives et prêtes pour la production
Mettre en place et maintenir des workflows MLOps prenant en charge la gestion des versions, le déploiement, la surveillance et l’amélioration continue des modèles
Analyser les performances des modèles, identifier les modes de défaillance et mettre en œuvre des améliorations pour renforcer la précision, la fiabilité et l’efficacité des modèles
Documenter et présenter les conceptions techniques, les résultats expérimentaux et les conclusions aux collaborateurs et à la direction

Qualifications Minimales

Licence ou master en informatique, apprentissage automatique, ingénierie, ou expérience professionnelle équivalente
Au moins 5 ans d’expérience professionnelle dans le développement de solutions d’apprentissage automatique
Expérience couvrant l’ensemble du cycle de vie de l’apprentissage automatique, y compris la recherche, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production
Expérience de travail dans des environnements de recherche ou expérimentaux aux exigences en constante évolution
Maîtrise des frameworks modernes d’apprentissage profond (par exemple, PyTorch, Hugging Face)
Expérience en géométrie computationnelle et en données 3D (par exemple, maillages, modèles B-Rep)
Expérience de travail avec des représentations de données complexes, y compris la géométrie 2D et 3D
Expérience en gestion de versions, en reproductibilité et en déploiement de modèles d’apprentissage automatique
Expérience pratique de l’utilisation d’outils modernes d’IA/IA générative pour améliorer le développement logiciel, l’expérimentation ou les workflows d’apprentissage automatique
Excellentes compétences en communication écrite et orale

Qualifications Souhaitées

Diplôme de niveau master ou doctorat (MSc/PhD) en apprentissage automatique, en informatique ou dans un domaine connexe
Expérience avec les grands modèles de langage (LLM) ou les systèmes d’IA générative (par exemple : réglage fin, formulation de prompts, évaluation ou workflows agentiques)
Expérience dans la mise à l’échelle de l’entraînement en apprentissage automatique et des pipelines de données (par exemple, à l’aide de Ray ou de frameworks similaires)
Expérience des plateformes et services cloud (par exemple, AWS, Azure, Google Cloud Platform)
Connaissance des secteurs de la conception, de la fabrication, de l’architecture, de l’ingénierie et de la construction (AEC), ou des médias et du divertissement
Expérience avec Autodesk ou des produits similaires (par exemple, CAO, IAO, FAO)

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 $123,000 and $180,400. 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.

Belonging

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

Are you an existing contractor or consultant with Autodesk?

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

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize machine learning models and scalable data workflows for product capabilities involving 3D geometry, multimodal AI, and generative AI. Evaluate and improve model quality, build MLOps processes for deployment and monitoring, and collaborate with researchers and developers to bring experimental ideas into production.

Requirements

Requires a bachelor's or master's degree in a relevant field or equivalent industry experience, at least five years of professional machine learning experience, and experience across the ML lifecycle. Candidates should be proficient with modern deep learning frameworks and have experience with computational geometry, 2D and 3D data, reproducible workflows, and model deployment; advanced degrees, LLMs, scalable pipelines, cloud platforms, and relevant industry experience are preferred.

Skills

Machine Learning
Deep Learning
3D Geometry
Computational Geometry
Multimodal AI
Generative AI
PyTorch
Hugging Face
Data Pipelines
Model Training
Model Evaluation
MLOps
Production Deployment
LLMs
Cloud Platforms
Version Control

Benefits

Annual Cash Bonuses
Sales Commissions
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
3D Geometry
Computational Geometry
Meshes
B-Rep Models
2D Geometry
Multimodal AI
Generative AI
PyTorch
Hugging Face
Data Pipelines
Model Training
Model Evaluation
MLOps
Model Versioning
Model Deployment
Model Monitoring
Reproducibility
LLMs
Fine-Tuning
Prompting
Agentic Workflows
Ray
AWS
Azure
Google Cloud Platform
CAD
CAE
CAM

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