Jobs in Canada

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Added 1 month ago
A(
Machine Learning Resident - Client: Publicus (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
A central objective of this initiative is to transform how governments and businesses interact with procurement documents by reducing manual review, accelerating information retrieval, and…
Added 1 month ago
CO
Principal Associate, Software Engineering
Capital One
Toronto, ON
- Full-time
Lead and Innovate: partner closely with engineering leaders, product managers, and business stakeholder to turn developer friction into automated, high-impact solutions.
Added 1 month ago
CL
Stagiaire développeur infonuagique/ Cloud Developer Intern
CM Labs
Montreal, QC
- Internship
…remote simulation control, cloud deployment and infrastructure automation, workload orchestration, data pipelines, and developer tools that integrate Vortex Studio into modern cloud and…
Added 1 month ago
AA
Ingénieur(e) en vérification de logiciel QC/ Software Verification Engineer QC
Aviya Aerospace Systems
Longueuil, QC
- Full-time
Familiarity with scripting languages (Python) for test development and automation.
Added 1 month ago
Data Scientist, Commercial Price Modelling
Aviva
Toronto, ON · Markham, ON
…prediction, customer journey optimization, pricing insights, and automation, partnering closely with business and technology…
Added 1 month ago
TC
Senior L3 Network Engineer (Network SME and Automation Lead)
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
The Senior L3 Network Engineer is the technical lead for the Switch Lifecycle Refresh Program, with responsibility for engineering design, migration planning, technical governance, advanced…
Added 1 month ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
Proficient in Python (Bash, Go, or JavaScript/TypeScript is a plus) for security scripting and automation, with hands-on experience across REST APIs, Git workflows, and PR-based code…
Added 1 month ago
LC
Data Engineer II
Loblaw Companies Limited
Brampton, ON
- Full-time
Experience with Python, SQL, Git, cloud platforms and data services, preferably GCP, BigQuery, and Google Cloud Storage, as well as Kubernetes, preferably GKE, Docker, Helm, and CI/CD…
Added 1 month ago
MT
Technical Staff Engineer – Design & Product Validation
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
…about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology…
Added 1 month ago
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Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
CI/CD & Developer Velocity: Enable fast, secure iteration through build, test, and deployment automation (CI/CD), integrating automated security checks directly into the pipeline.
Added 1 month ago
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Senior Data Engineer
Luxoft
Toronto, ON
- Contract
…expected to independently design and deliver data solutions with minimal…
Added 1 month ago
IF
Spécialiste – IA Agentique & Automatisation en gestion des risques
Intact FC
Toronto, ON · Montreal, QC
- Full-time
…workplace where you can shape the future, win as a team and grow with…
Added 1 month ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Advanced SQL and Python skills, with strong data analysis fundamentals.
Added 1 month ago
E
Junior Quality Control Software Developer
Ecolab
Calgary, AB · CAN-Calgary Plant Starfield
- Full-time
We have an exciting opportunity for a Quality Control Software Developer (Junior) to join our team in Calgary, Alberta. In this role, you will support the development, maintenance, and…
Added 1 month ago
AA
Software Verification Engineer ON
Aviya Aerospace Systems
Mississauga, ON
- Full-time
Familiarity with scripting languages (Python) for test development and automation.
Added 1 month ago
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Technical Specialist II
BMO
Toronto, ON · SCC
- Full-time
Hybrid work model: Minimum 3 days per week in-office
Added 1 month ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Must have worked on Snowflake Cost optimization scenarios
Added 1 month ago
AA
Software Verification Engineer
Aviya Aerospace Systems
Mississauga, ON
- $67,000 to $97,000 CAD / year
- Full-time
Familiarity with scripting languages (Python) for test development and automation.
Added 1 month ago
Forward Deployed Engineer, AI - Technology Strategy & Transformation
EY
Toronto, ON
Collaborate with clients to identify high-value opportunities for generative AI, intelligent automation, and AI-enabled application modernization.
Added 1 month ago
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RQ11622 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
against the various components. The tester will work with the testing lead and
Added 1 month ago
Product Architect, AI (Auth0)
Okta
Toronto, ON
Partner with Developer Relations and Go-to-Market teams to make complex identity and AI concepts approachable for developers, architects, customers, and partners.
Added 1 month ago
F/
DevOps Developer (Platform Engineering)
FCC / FAC
Regina, SK
- Full-time
You’ll work across cloud infrastructure, CI/CD (continuous integration and continuous deployment) pipelines, automation frameworks, observability platforms, disaster recovery initiatives,…
Added 1 month ago
M(
Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Nice to have: GraphQL, React Native, or SQL database experience. For this area, we also value: Experience with search technology, authentication and identity, design systems or component…
Added 1 month ago
M(
Full-Stack Developer - Core
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Partner directly with Product Managers and Designers to shape your team's roadmap, not just execute against it.
Added 1 month ago
RA
Senior Software Developer
Rockwell Automation
Kitchener, ON · Canada-Ontario-Kitchener-Strasburg Rd
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior Software Developer on the Fleet Core team within OTTO by Rockwell Automation, you will help develop, test, maintain OTTO Fleet Manager software used by customers to operate…

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 on autodesk.wd1.myworkdayjobs.com 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 on autodesk.wd1.myworkdayjobs.com 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

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Jobs in Canada