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Added 16 mins 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 17 mins ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Build evaluation harnesses and quality gates, including offline test sets, golden datasets, regression suites, and metrics for factuality, safety, latency, cost, and business outcomes.
Added 44 mins ago
Q
Senior Cloud DevOps Engineer
Qfin
Toronto, ON · North York, ON
- Full-time
We are looking for a Senior Cloud DevOps (SRE) Engineer to design, implement, operate, and continuously improve our cloud infrastructure and DevOps capabilities on AWS.
Added 1 hour ago
T
Software Engineer, Full Stack - Trace
Trace
Montreal, QC
- Full-time
…from quoting and booking to tracking and invoicing, into one platform, with AI agents built into the…
Added 1 hour ago
A
Staff Data Developer
AtkinsRéalis
Montreal, QC
- Full-time
Contribute to the evolution of the Orb platform, including standardized engineering templates, automation, maintainability improvements, and migration toward Microsoft Fabric.
Added 1 hour ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Build evaluation harnesses and quality gates, including offline test sets, golden datasets, regression suites, and metrics for factuality, safety, latency, cost, and business outcomes.
Added 1 hour ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT,…
Added 1 hour ago
MT
Technical Staff Engineer – Design & Product Validation
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
We are seeking an experienced engineer who wants to tackle challenging system-level problems and influence the quality and success of industry-leading products. This role provides broad…
Added 2 hours 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 3 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 3 hours ago
Workday Integration Engineer
Asana
Vancouver, BC
…Workday - enabling smooth data flow, system reliability, and automation across our global HR tools. In this role, you will partner closely with HR, Finance, and IT stakeholders, drive…
Added 4 hours ago
M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use…
Added 4 hours ago
PA
Channel Solution Consultant 2
Palo Alto Networks
Toronto, ON · Office - Canada - Toronto
- Full-time
As a Palo Alto Networks Channel Systems Engineer, you are a critical part of the sales team; it is your responsibility to build solutions and enable the partner, work with the partner to…
Added 4 hours ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
Strong quality-engineering capability, including test driven development, defining test strategy and automation across unit, component, contract, API, integration, end-to-end,…
Added 4 hours ago
NT
System Validation Engineer
NETINT Technologies
Burnaby, BC
- $100,000 to $210,000 CAD / year
- Full-time
Develop automation test platform and test scripts
Added 4 hours ago
A
Staff Developer
AtkinsRéalis
Toronto, ON · Montreal, QC
- Full-time
Contribute to the evolution of the Orb platform, including standardized engineering templates, automation, maintainability improvements, and migration toward Microsoft Fabric.
Added 5 hours ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
The Risk Technology team is seeking a junior Software Engineer with 2–3 years of relevant experience to contribute to both application development and quality engineering. The successful…
Added 6 hours ago
IC
Forward Deployed AI Engineer – System Test Automation
Infomatics Corp
Ottawa, ON
- Contract
We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and…
Added 7 hours ago
TH
QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
We are looking for a dynamic QA Automation Engineer, eager to deliver high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and…
Added 9 hours ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT,…
Added 10 hours ago
M(
[C] Salesforce Engineer / Developer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Part-time
The successful candidate will bring deep Salesforce platform experience and extensive hands-on experience implementing, supporting, and enhancing Salesforce Loyalty Cloud / Loyalty…
Added 11 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 12 hours ago
R
Lead Quality Engineer - Data
RBC
Toronto, ON
- Full-time
The Lead Data Quality Engineer is responsible for creating and executing comprehensive data testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 13 hours ago
C
AKS/ ARO DevOps Engineer
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
8+ years in DevOps/platform engineering, including 4+ years with Kubernetes/OpenShift and production CI/CD and IaC automation.
Added 15 hours ago
A
Senior Full Stack Developer/AI Builder
adidas
Woodbridge, ON
- Full-time
Work with the QA Automation Engineer to improve test coverage and release confidence.

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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