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Added 4 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
The ideal candidate is a technically strong and professionally mature civil engineer with hands-on infrastructure design experience across concept development, detailed design, permitting,…
Added 4 mins ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB · Vancouver, BC
…and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven…
Added 4 mins ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 19 mins ago
V
Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
We're looking for a Lead Optimizely Solutions Architect to join our growing Optimizely practice in Canada. In this role, you'll lead the design and delivery of enterprise digital experience…
Added 19 mins ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 19 mins ago
R
Network Engineer (IoT, Wireless)
Resonaite
Saskatoon, SK
- Full-time
Our client is seeking an experienced Consulting Network Engineer to join their team delivering complex infrastructure solutions across enterprise, data centre, cloud, wireless, Industrial…
Added 19 mins ago
AE
Proposal Engineer
ABB E-mobility
Montreal, QC
- Full-time
Role Description This full-time Proposal Engineer role at ABB E-mobility is a hybrid position based in Montreal, QC, with a combination of on-site and work-from-home arrangements. The…
Added 19 mins ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 19 mins ago
S
Summer Student, Engineering
StandardAero
Langley (District), BC · City of Langley, BC
- Part-time
At StandardAero, we use our ingenuity and know-how to find solutions for the simple to the most complex challenges in aviation. Together, we get the job done and done well. Our stability,…
Added 19 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
The ideal candidate is a technically strong and professionally mature civil engineer with hands-on infrastructure design experience across concept development, detailed design, permitting,…
Added 19 mins ago
MP
Data Engineer
Michael Page
Winnipeg, MB
- $80,000 to $100,000 CAD / year
- Full-time
…with technical and operational teams to deliver scalable data solutions and support business…
Added 20 mins ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 20 mins ago
SA
Co-Op Engineer
Standard Aero
Langley (District), BC · Langley, BC
- Part-time
At StandardAero, we use our ingenuity and know-how to find solutions for the simple to the most complex challenges in aviation. Together, we get the job done and done well. Our stability,…
Added 33 mins ago
FC
Consultant - EIT
Fitzpatrick Consulting
BC · British Columbia, Canada
- Contract
Fitzpatrick & Company Consulting Inc. supports organizations across Canada with practical solutions in reliability, asset management, maintenance planning and scheduling, budgeting, project…
Added 33 mins ago
C
Intermediate P&C Engineer
CIMA+
Regina, SK
- Full-time
…have the skills and experience required to deliver innovative solutions adapted to their reality. Join us and immerse yourself in a dynamic, innovative, and collaborative environment where…
Added 33 mins ago
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Regulatory Manager
Bitdeer (NASDAQ: BTDR)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex…
Added 35 mins ago
IAM Support Engineer – ETL & Data Modeling
KeyData Cyber
Toronto, ON
We deliver comprehensive solutions across IAM domains, including:
Added 35 mins ago
QI
AI Engineer
Quartermaster inc.
Toronto, ON
- Full-time
We believe in holistic solutions to consumer problems. We believe in high-trust hyperlocal communities. We believe in low commission marketplaces that the best Pros can actually say yes to.…
Added 35 mins ago
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Test/Integration Engineer
Vanderlande
Vancouver, BC
- Full-time
As an Integration Engineer at Vanderlande, you will play a crucial role in integrating various components and subsystems into comprehensive solutions for complex airport and parcel systems.…
Added 35 mins ago
AA
Ingénieur(e) en vérification de logiciel QC/ Software Verification Engineer QC
Aviya Aerospace Systems
Longueuil, QC
- Full-time
Aviya Aerospace Systems est un chef de file des services et des solutions d’ingénierie pour applications essentielles destinées à l’aérospatiale et à la défense. Aviya fournit des…
Added 35 mins ago
AM
Customs & Trade Compliance Analyst
Array Marketing
Toronto, ON · Scarborough, Ontario
- Full-time
For over 40 years, Array Marketing has been a global leader in retail displays and in-store merchandising solutions. With more than 1,800 employees worldwide, we partner with leading brands…
Added 35 mins ago
W
Electrical Engineer - Transportation & Buildings
WSP
Thornhill, ON
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 35 mins ago
C
Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
…management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you will architect and scale robust backend systems, leveraging…
Added 35 mins ago
BG
Production Scheduler/Coordinator
BV GLAZING
Concord, ON
- $55,000 to $65,000 CAD / year
- Full-time
…From Toronto to Texas, we are vertically integrated to design, engineer, manufacture and install the complete building envelope with today’s most ambitious developers. Serving both…
Added 47 mins ago
IG
Deployment Engineer
Insight Global
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Overview Insight Global is seeking a Forward Deployment Engineer to design, build, and deploy AI-powered solutions that solve complex business challenges. This role sits at the intersection…

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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