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Added 5 mins ago
EI
Technical Program Manager
EMERES INC.
Montreal, QC
- Full-time
We're looking for a Technical Program Manager to be the connective tissue between Product Management and Engineering. You'll turn requirements into a plan the engineering org can execute…
Added 6 mins ago
G
Building Envelope / Building Sciences Engineer
Go2STAFFING
ON · Vaughan, Ontario
- Full-time
…reporting directly to the President. The Building Envelope Lead Engineer is the go-to person for clients and will help build long-term…
Added 6 mins ago
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Thermal Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
Lead product development from concept through production, including prototyping, testing, validation, and manufacturing release.
Added 6 mins ago
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Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
As a Mechanical Engineer, you will lead the design and development of Coolant Distribution Units (CDUs) from concept through production. Working closely with cross-functional teams,…
Added 6 mins ago
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Senior Thermal Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
…next-generation data centers? As a Senior Thermal Mechanical Engineer, you will lead the development of innovative thermal management solutions, drive hands-on prototyping and testing, and…
Added 35 mins ago
AA
Spécialiste de la chaîne d'approvisionnement et Qualité / Supply Chain Quality Specialist (SCQS)
Airbus Aircraft
Montreal, QC
- Full-time
Added 35 mins ago
FT
Solutions Architect
Fathom Talent Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Sales Engineer role bridges customer needs with product innovation: partnering with Sales, Product and other internal teams to shape integrated solutions that unlock new use cases, set…
Added 51 mins ago
AA
Software Verification Engineer ON
Aviya Aerospace Systems
Mississauga, ON
- Full-time
Review software architecture, high level requirements and low-level requirements against product and software requirements.
Added 51 mins 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 1 hour ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
Leads development teams in the delivery of capabilities, providing technical direction and guidance to junior developers and team members and ensuring the successful execution of complex…
Added 1 hour ago
AA
Software Verification Engineer
Aviya Aerospace Systems
Mississauga, ON
- $67,000 to $97,000 CAD / year
- Full-time
Review software architecture, high level requirements and low-level requirements against product and software requirements.
Added 1 hour ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 hour ago
SA
Development Engineer / Development Engineering Specialist
Stelia Aerospace North America Inc
Lunenburg, NS
- Full-time
…an aerospace and defence company specializing in the design, development, and manufacturing of composite components and assemblies. Headquartered in Lunenburg, NS, and with a site in…
Added 1 hour ago
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Senior Project Manager
HDR
Calgary, AB
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 1 hour ago
Software Developer
AppDirect
Toronto, ON
…AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device – as a service. We power millions of subscriptions worldwide for organizations. We…
Added 1 hour ago
M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Platform & Infrastructure keeps everything else fast, reliable and easy to build on. We own the shared services every product team builds on top of (identity, search, communication and our…
Added 1 hour ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 hour ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The Service team is a unique team in Development engineering responsible for enhancing the reliability and performance of Husky’s products by resolving systemic service issues. The team is…
Added 1 hour ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 1 hour ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Lead end-to-end innovation and engineering initiatives, from concept ideation and prototyping through proof-of-concept validation, product development, and commercialization.
Added 1 hour ago
CL
Embedded Software Engineer
Current Lighting
Montreal, QC
- Full-time
Current Lighting is seeking an Sr Embedded Firmware Engineer to join our progressive and dynamic fast-paced enterprise and device controls automations team. These are exciting times - our…
Added 1 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 1 hour ago
PG
Mechanical Engineer
PACO Group
Longueuil, QC
- Full-time
…developed by our teams, making them unique. As a Mechanical Development Project Engineer, you will act as the technical lead for several projects simultaneously. You will be responsible for…
Added 1 hour ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
The Senior Product Solutions Analyst will play a key role in transforming how business teams across Scotia Global Asset Management (SGAM) operate by introducing AI-powered technologies and…
Added 1 hour ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
Professional Development: Maintain a commitment to continuous learning and development, staying ahead of industry trends and Ataccama product advancements

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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