Find work in Canada.

326,703 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 7 mins ago
PI
Intermediate‑Senior Civil Engineer Emissions Reduction and Compliance Group
Pinchin in Canada
Mississauga, ON
- $95,000 to $125,000 CAD / year
- Full-time
Pinchin is seeking an Intermediate‑Senior Civil Engineer to join our Emissions Reduction and Compliance team in Mississauga, ON. The role reports to the Operations Manager. This role…
Added 7 mins ago
CH
Quality Manager / FAcT
Canadian Helicopters
Southport, MB
- Full-time
Shall hold, or have held a valid Transport Canada Aircraft Maintenance Engineer License for a period of not less than five (5) years; or
Added 7 mins ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
- 3+ years of information security and compliance experience
Added 21 mins ago
V
Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
Establish and promote best practices around content modeling, headless delivery, security, performance and maintainability.
Added 21 mins ago
PC
Intermediate‑Senior Civil Engineer Emissions Reduction and Compliance Group
Pinchin Canada
Mississauga, ON
- $95,000 to $125,000 CAD / year
- Full-time
Pinchin is seeking an Intermediate‑Senior Civil Engineer to join our Emissions Reduction and Compliance team in Mississauga, ON. The role reports to the Operations Manager. This role…
Added 21 mins ago
MP
Data Engineer
Michael Page
Winnipeg, MB
- $80,000 to $100,000 CAD / year
- Full-time
Responsible for building, maintaining, and optimizing data pipelines while ensuring the accuracy, security, and reliability of enterprise data. The position combines cloud-based data…
Added 22 mins ago
A
Specialist Engineer - Mechanical Tooling
AtkinsRéalis
Mississauga, ON
- Full-time
Registered Professional Engineer (P.Eng.) in the Province of Ontario and member in good standing.
Added 38 mins ago
IAM Support Engineer – ETL & Data Modeling
KeyData Cyber
Toronto, ON
At KeyData Cyber, we’re shaping the future of identity security. Recognized by Gartner and KuppingerCole as a leading IAM professional services firm, we specialize exclusively in designing,…
Added 50 mins ago
CH
Quality Manager / FAcT
Canadian Helicopters Limited
Southport, MB
- Full-time
Shall hold, or have held a valid Transport Canada Aircraft Maintenance Engineer License for a period of not less than five (5) years; or
Added 50 mins ago
K
Procurement Engineer
Kinectrics
Toronto, ON
- Full-time
…schedule adherence and quality assurance. OPG and Bruce Power security clearance is an asset. Ability to obtain and maintain nuclear site security clearance is…
Added 50 mins ago
A
Specialist Engineer - Mechanical Tooling
AtkinsRéalis
Mississauga, ON
- Full-time
Registered Professional Engineer (P.Eng.) in the Province of Ontario and member in good standing.
Added 50 mins ago
A
Specialist Engineer - Mechanical Tooling
AtkinsRéalis
Mississauga, ON
- Full-time
Registered Professional Engineer (P.Eng.) in the Province of Ontario and member in good standing.
Added 1 hour ago
NG
Desktop Support Engineer (Level 2)
NSC Global
Brantford, ON
- Other
…hardware and software systems. Supports and maintains user account information including rights, security and systems groups. May require an associate’s degree in a related area or 5+ years…
Added 1 hour ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 1 hour ago
O
MEP Technical Services Manager
OCS
London, ON · Bristol-London, ON
- Full-time
Managing the development, review and approval of MEP design information.
Added 1 hour ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications.
Added 1 hour ago
Technology Lead
Infosys
ON
At least 4 years of Information Technology experience
Added 1 hour ago
SI
4th Class Operating Engineer
Saputo Inc.
Tavistock, ON
- Full-time
Saputo Dairy Products Canada G.P. is seeking a 4th Class Operating Engineer, for an existing opportunity within our organization. You'll discover a stimulating atmosphere that fosters your…
Added 1 hour ago
EI
Technical Program Manager
EMERES INC.
Montreal, QC
- Full-time
In addition, employees may be required to obtain and maintain eligibility to access customer systems, facilities, and information. This may include fingerprint-based background checks,…
Added 2 hours ago
Engineer/Conductor - CTRW
BROE Group and it's managed affiliates
Prince Albert, SK
The Engineer/Conductor oversees the train, freight and crew: operates track switches, couples, and uncouples cars and places cars to facilitate loading and unloading, places cars and…
Added 2 hours ago
B
Technical Specialist II
BMO
Toronto, ON · SCC
- Full-time
We are looking for a highly skilled DevOps/Site Reliability Engineer (SRE) to join one of our high-performing, mission-critical technology teams. This role offers the opportunity to work on…
Added 2 hours ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
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…
Added 2 hours ago
D
Senior Product Engineer II - Backend
Docebo
Toronto, ON
- $123,400 to $164,500 CAD / year
- Full-time
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 2 hours ago
AA
Software Verification Engineer
Aviya Aerospace Systems
Mississauga, ON
- $67,000 to $97,000 CAD / year
- Full-time
For further information please visit us at www.aviyatech.com
Added 2 hours ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job