Find work in Canada.

328,894 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 18 mins ago
Project Engineer (Battery Energy Storage)
Peak Power Inc
Toronto, ON
As a Project Engineer role will report to the Senior Director, Engineering you will provide engineering leadership on behind the meter battery energy storage and distributed energy projects…
Added 45 mins ago
I
Data Engineer
InfoFarm
Engineer, BC
- Full-time
We are looking for a Data Engineer to help design, build, and maintain modern data platforms that power data-driven decision-making. You’ll work closely with senior engineers and business…
Added 45 mins ago
PP
Project Engineer (Battery Energy Storage)
Peak Power Inc
Toronto, ON
- Full-time
As a Project Engineer role will report to the Senior Director, Engineering you will provide engineering leadership on behind the meter battery energy storage and distributed energy projects…
Added 45 mins ago
SS
Project Estimator (Residential)
Summit Search Group
Winnipeg, MB
- Full-time
Added 1 hour ago
B
Director, MEP & Electrical Infrastructure, Bell AI Fabric
Bell
Calgary, AB
- Full-time
Lead portfolio-wide modularization and prefabrication strategies to improve schedule certainty, quality, and scalability across sites.
Added 1 hour ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You own the entire ML lifecycle end-to-end, from data pipelines with SQL and PySpark to CI/CD, MLOps, model retraining, drift detection, and quality governance.
Added 1 hour ago
D
Java Developer
Dexian
Mississauga, ON
- Other
We're looking for a senior, architect-level engineer who can sit alongside our front-office users, including underwriters, bankers, and business stakeholders, and turn their needs into…
Added 1 hour ago
H
Senior Quality Engineer
Hays
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Senior Quality Engineer (Data Platforms & Cloud)
Added 1 hour ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
Added 1 hour ago
PR
Senior Mechanical Engineer
Promise Robotics
Calgary, AB
- Full-time
We’re looking for a Senior Mechanical Engineer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This role will be based…
Added 1 hour ago
WR
Manager, Stewardship & Impact
Waterloo Regional Health Network Foundation (WRHNF)
Kitchener, ON
- $73,950 to $86,700 CAD / year
- Full-time
…and/or external), coordinate with printing house, and ensure quality execution of donor impact reports and related…
Added 1 hour ago
E
Software Engineer/Senior Software Engineer (Full Stack)
Envisio
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
We are looking for an experienced and passionate Full Stack Software Engineer to join our Engineering team. You will build the tools that public agencies and local governments rely on to…
Added 1 hour ago
C
Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
Added 1 hour ago
EE
Engineer, Energy Services
Envari Energy Solutions
Hawthorne, NS · Ottawa, ON
- Full-time
…framework offers a clear, transparent pathways to intermediate and senior levels. Wherever you are in your career, there’s a path for growth ahead of you here.We help to power your…
Added 1 hour ago
EE
Electrical Engineer
Envari Energy Solutions
Hawthorne, NS · Ottawa, ON
- Full-time
…framework offers a clear, transparent pathways to intermediate and senior levels. Wherever you are in your career, there’s a path for growth ahead of you here.We help to power your…
Added 1 hour ago
Principal Offensive Security
Varicent
Toronto, ON
We're looking for a Principal Offensive Security engineer to be the senior technical authority for our offensive security practice across applications, cloud environments, enterprise…
Added 1 hour ago
OS
Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
We are looking for Senior Forward Deployed Engineer - Spread Products (Financing & Securitization). These are Hybrid contract to Hire roles in Toronto,DT. If you have the relevant skills…
Added 2 hours ago
Y
Full Stack Engineer
Yochana
Montreal, QC
- Full-time
We're looking for a Senior Full Stack Developer to join our engineering team, building and maintaining mission critical software across the full stack. You'll work on both frontend and…
Added 2 hours ago
T
Senior Quality Engineer
TEEMA
Toronto, ON
- Contract
We’re looking for a Senior Quality Engineer with strong experience in data quality, QA automation, and enterprise data platforms.
Added 2 hours ago
PX
Sr. Data Platform Engineer
Project X
Toronto, ON
- Full-time
We are seeking a Senior Data Platform Engineer for our enterprise client. This is a senior, hands-on role focused on modernizing and strengthening a data platform built around Snowflake,…
Added 2 hours ago
E
Principal Application DevOps Engineer, AI & Automation
Entrust
Canada
- Full-time
…on-premises cloud infrastructure. The Principal Application DevOps Engineer, AI & Automation will bring an application-first engineering perspective to Cloud Services and serve as a key…
Added 2 hours ago
E
Principal AI Platform Engineer
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…thousands to millions of records. As a Principal AI Platform Engineer, you will design and build the platform our AI agents and accelerators run on, including orchestration, retrieval,…
Added 2 hours ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 2 hours ago
Y
Senior Quality Assurance Automation Engineer
Yochana
Montreal, QC
- Full-time
We're looking for a Senior QA Automation Engineer to design, build, and maintain automated test frameworks that ensure the quality and reliability of our software. You'll work closely with…
Added 2 hours ago
Y
Senior QA Automation Engineer
Yochana
Montreal, QC
- Full-time
We're looking for a Senior QA Automation Engineer to design, build, and maintain automated test frameworks that ensure the quality and reliability of our software. You'll work closely with…

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