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Added 1 hour ago
PF
Gestionnaire principal·e de produit | Senior Product Manager , APM & GenAI
Power Factors
Remote, Canada
- Remote
Added 2 hours ago
K
Senior SR&ED Consultant (Software Engineering)
KPMG
Hamilton, ON · London, ON · Oakville, ON · Ottawa, ON · ON · Kitchener, Ontario · Kanata, Ontario
- Full-time
Keeping up-to-date with innovative technologies and trends in the world of Information Technology, Artificial Intelligence, Machine Learning and Data Analytics
Added 3 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
…operational needs into production-ready applications using machine learning, generative AI, natural language processing, retrieval-augmented generation, agentic workflows and orchestration,…
Added 4 hours ago
HB
Front-End Engineer - Montreal - Up to $200,000 CAD + Exceptional Bonuses/Benefits
Hunter Bond
Montreal, QC
- Full-time
Developer-first culture that values deep expertise and continuous improvement
Added 4 hours ago
U
Senior Data & AI Consultant/Consulting Lead (Montreal, Canada)
Unit8
Montreal, QC
- Full-time
…solutions, from modern data platforms and analytics products to machine learning and AI…
Added 7 hours ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Au sein du service des données de Mistplay, l'analyste de données sénior I, Produit jouera un rôle crucial dans l'amélioration de la performance commerciale de Mistplay grâce à une analyse…
Added 7 hours ago
Senior Technology Auditor
Rogers Communications
Brampton, ON
Review machine learning and analytics solutions to identify governance and control risks.
Added 7 hours ago
UM
Senior Manager, Test Engineering
Ultra Maritime
Dartmouth, NS
- Full-time
Evaluate emerging test technologies, automation solutions, Industry 4.0 initiatives, artificial intelligence, machine learning applications, and advanced analytics.
Added 7 hours ago
UT
Développeur(se) Backend Sénior | Senior Backend Developer, Ads Privacy
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
…systèmes qui tiennent, et avec les équipes d'apprentissage machine et de données pour mener modèles et pipelines jusqu'à la…
Added 8 hours ago
J
Chief Technology Officer
Jobgether
Canada
- $225,000 to $275,000 CAD / year
- Full-time
Hands-on experience applying artificial intelligence, machine learning, and data-driven technologies to real-world products is preferred.
Added 10 hours ago
Administrative Assistant
Nestle Operational Services Worldwide SA
Toronto, ON
Provide executive level administrative assistance to the BEO Nestle Professional Canada and VP, IT & Digital and senior leaders on the teams.
Added 10 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Ottawa, ON
- Volunteer
Added 10 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
AB · Edmonton, AB
- Volunteer
Added 10 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Montreal, QC
- Volunteer
Added 10 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Calgary, AB
- Volunteer
Added 12 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 12 hours ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Experience building and deploying machine learning models to production, focusing on modular, scalable, and maintainable models.
Added 12 hours ago
SS
Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Définir des architectures intégrant l’IA Générative, le Machine Learning, le NLP, les assistants intelligents et l’automatisation.
Added 12 hours ago
E
AI Software Designer RAN & AI Solutions
Ericsson
Ottawa, ON
- Full-time
Continuous learning opportunities, technical training, and career development programs.
Added 13 hours ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
In this role, you will be the senior technical authority over every agentic AI workstream in the program, spanning a large delivery organization. You'll set architecture and evaluation…
Added 13 hours ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 USD / hour
- Contract
Apex Systems is seeking a Senior Site Reliability / DataOps Engineer to support a large-scale data modernization initiative within a major Canadian financial institution.
Added 13 hours ago
AS
IT Support Analyst
Apex Systems
Toronto, ON
- $29 to $44 USD / hour
- Contract
Strong communication skills and a customer-service mindset when working with senior stakeholders
Added 13 hours ago
AS
JP2239 - IT Project Manager - Senior
Apex Systems
Toronto, ON
- $71 to $76 USD / hour
- Contract
Senior IT Project Manager (Payments Technology)
Added 13 hours ago
SS
Architecte Senior de Solutions (Expérience en Intelligence Artificielle)
Sopra Steria
Montreal, QC
- Full-time
Définir des architectures intégrant l’IA Générative, le Machine Learning, le NLP, les assistants intelligents et l’automatisation.
Added 13 hours ago
AS
Full Stack Developer, Java / Angular / AWS
Apex Systems
Toronto, ON
- $45 to $50 USD / hour
- Full-time
Senior Full Stack Developer, Java / Angular / AWS

Autodesk

Senior Machine Learning Engineer

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $123,000 and $180,400. · Full-time

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Job details

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type: Full-time
Experience: 5+ years of machine learning engineering, or data engineering, or related experience, including significant experience developing production systems
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Requisition ID #

26WD101236

Position Overview

We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market intelligence function.

The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve intelligence. The focus of this role will be engineering end-to-end AI/ML solutions - including feature engineering, data cleansing, contributing in model training process, model deployment, model validations, model evaluation, inference pipelines, and production orchestration.

You will work at the intersection of machine learning, data & analytics engineering, You will collaborate closely with data engineers, data scientists, analysts, platform teams, and business stakeholders to deliver reusable intelligent data products at enterprise scale.

The role requires a strong engineering mindset, hands-on experience building production ML systems, and the ability to evaluate and integrate rapidly evolving AI technologies while maintaining high standards for quality, observability, security, governance, cost efficiency, and operational reliability.

Responsibilities

Design, develop, test, deploy, and maintain production-grade ML pipelines supporting enterprise-scale use cases
Develop reusable ML services and components
Develop robust model evaluation frameworks covering dimensions such as accuracy, relevance, groundedness, consistency, latency, throughput, robustness, and cost
Design automated evaluation pipelines using deterministic metrics, model-based evaluation, curated datasets, regression testing, and human evaluation where appropriate
Build and maintain distributed processing pipelines capable of handling large volumes of documents, web content, structured data, and unstructured data efficiently
Design and optimize distributed pipeline and cloud orchestration for large-scale AI workloads using appropriate workflow orchestration and cloud-native technologies
Implement resilient processing patterns including concurrency management, queue-based architectures, checkpointing, retries, failure recovery, rate limiting, and idempotent processing
Optimize AI/ML systems for latency, throughput, scalability infrastructure utilization, and model inference cost
Partner with platform engineering teams to integrate AI applications with the relevant platforms, APIs, identity and access management, monitoring, and deployment infrastructure
Implement appropriate MLOps and LLMOps practices, including model and prompt versioning, experiment tracking, evaluation, deployment automation, monitoring, rollback mechanisms, and lifecycle management
Build comprehensive observability and monitoring mechanisms across ML pipelines, covering pipeline health, model performance, data quality, failures, and cost
Implement mechanisms to identify and manage model drift, data drift, quality degradation, and upstream data changes
Build modular frameworks and reusable components that enable teams to develop new capabilities through self-service patterns rather than one-off implementations
Work closely with data scientists, data engineers, analysts, product teams, and business stakeholders to translate business problems into appropriate ML architectures and implementation strategies
Translate complex ML system designs, model behavior, limitations, and trade-offs into business-appropriate representations for technical and non-technical stakeholders
Support experimentation and rapid prototyping while ensuring successful solutions can transition into maintainable, production-grade systems
Contribute to engineering standards, reference architectures, design reviews, code reviews, technical documentation, and AI/ML engineering best practices

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, Information Systems, or a related technical discipline
5+ years of machine learning engineering, or data engineering, or related experience, including significant experience developing production systems
Demonstrated experience designing and operating production ML systems rather than only experimentation or notebook-based model development
Strong programming skills in Python, with the ability to develop modular, testable, maintainable, and production-quality software

Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios
Experience with workflow orchestration technologies such as Airflow or comparable orchestration frameworks
Have experience on Data transformation tools like DBT
Hands-on experience building and deploying machine learning inference pipelines and services
Experience designing distributed data or ML processing pipelines for high-volume workloads
Experience deploying workloads into a major cloud environment, preferably AWS, and working with cloud services for compute, storage, event processing, monitoring, and distributed execution
Experience with Git-based software development workflows, code reviews, branching strategies, and collaborative engineering practices
Familiarity with MLOps concepts, including experiment tracking, model lifecycle management, deployment, model monitoring, reproducibility, and versioning
Experience working with structured and unstructured data and designing preprocessing, enrichment, and transformation pipelines.
Strong analytical, debugging, and problem-solving skills with the ability to diagnose issues across application, model, pipeline, and infrastructure layers
Strong written and verbal communication skills and the ability to collaborate effectively with engineering, data science, product, and business stakeholders
Ability to work effectively with geographically distributed teams across multiple time zones
Familiarity with Agile/Scrum software development practices.
Experience working with remote teams spread across multiple time-zones

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

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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More about this job

Responsibilities

Design, build, and scale production-grade AI/ML and Agentic AI systems to support go-to-market intelligence. Collaborate with cross-functional teams to develop reusable ML services, evaluation frameworks, and robust data pipelines at enterprise scale.

Requirements

Requires a bachelor's degree in a technical field and at least 5 years of experience in machine learning or data engineering. Candidates must have strong Python programming skills and hands-on experience with Snowflake, cloud environments, and MLOps practices.

Skills

Python
Snowflake
Snow SQL
Snow Pipe
Airflow
DBT
Machine Learning
MLOps
LLMOps
Cloud orchestration
AWS
Data engineering
Distributed systems
Model evaluation
Feature engineering
Data pipelines

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI
Agentic AI
Python
Snowflake
Snow SQL
Snow Pipe
Airflow
DBT
MLOps
LLMOps
AWS
Cloud Computing
Data Engineering
Feature Engineering
Model Deployment
Inference Pipelines
Distributed Systems
Data Governance
Observability
Agile
Scrum
Data Science
Automation
Scalability
Model Drift
Prompt Versioning
Infrastructure
API
Identity and Access Management

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