Jobs in Canada

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Added 1 month ago
AA
Software Verification Engineer ON
Aviya Aerospace Systems
Mississauga, ON
- Full-time
Experience with C and C++ programming languages for embedded software development.
Added 1 month ago
RN
Aquatics Supervisor
RIPLEY'S NIAGARA WATER PARK RESORT LTD.
Niagara Falls, ON
- Up to $24 CAD / hour
- Full-time
Collaborates with management on training programs, recommendations, and Pack Member development.
Added 1 month ago
Director, Indigenous Relations, Pacific Link (Calgary or Vancouver)
Trans Mountain
Vancouver, BC
Supports the development of and implements programs for Indigenous communities to meaningfully participate in the Project, inclusive of Indigenous procurement, employment, skills training,…
Added 1 month ago
MN
Manager, Financial Compliance & Technical Acc
Metis Nation Saskatchewan
Saskatoon, SK
- Full-time
Leads the development, implementation, and monitoring of financial compliance frameworks across the government.
Added 1 month ago
D
Analyst, Buildings, development and security
Desjardins
Montreal, QC · Levis, QC · Complexe Desjardins Montréal
- Full-time
As a Buildings, development and security Analyst, you assist with fire prevention and building safety and management. You help create plans, assist with build-outs and lease management, and…
Added 1 month ago
N
Network Ops Control Centre Technician
Northwestel
Yellowknife, NT
- Full-time
…Northern company, we are committed to the employment and career development of our Indigenous peoples. Please clearly indicate on your application if you are an Indigenous person, a woman,…
Added 1 month ago
C
Warehouse General Laborer
Carrier
Waterloo, ON
- Full-time
Must have unrestricted authorization to work in Canada
Added 1 month ago
CG
Developer, Business Intelligence
Canaccord Genuity Group Inc.
Vancouver, BC
- Full-time
…Team, this role will be responsible for the analysis, design, development and support of BI applications using Microsoft Business Intelligence tools. This role will provide highly valued…
Added 1 month ago
B
Technical Specialist II
BMO
Toronto, ON · SCC
- Full-time
Hybrid work model: Minimum 3 days per week in-office
Added 1 month ago
B
Associate Vice President, Advisor Sales, Global Asset Management
BMO
Vancouver, BC · WGA
- Full-time
Added 1 month ago
A
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
ML
Technician
Motion LP
Kamloops, BC
- Full-time
Professional development and networking. At Motion, we nurture a continuous learning and skills development environment. You will have:
Added 1 month ago
M
Préposé(e) à l'entretien ménager / Cleaner
Minto
Montreal, QC
- Full-time
Professional development and learning support to fuel your growth
Added 1 month ago
S
Senior Core Java Developer
Synechron
Toronto, ON
- Full-time
…financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to…
Added 1 month ago
RM
IT Business Analyst (ServiceNow)
REDPATH MINING
North Bay, ON
- Full-time
The IT Business Analyst role is to support the Business Applications team in the planning, design, development, and support of efficient business systems within core organizational…
Added 1 month ago
PC
Speech Language Pathologist
Pinecrest-Queensway Community Health Centre
Pembroke, ON
- $48.33 to $56.86 CAD / hour
- Part-time
…early identification, and early intervention for communication development. Services include intake and triage, speech and language assessments, and therapy delivered through both in-clinic…
Added 1 month ago
RV
Registered Nurse
Royal Victoria Regional Health Centre
Barrie, ON
- Full-time
Must have a minimum of one (1) year of critical care experience or equivalent experience in ED/CCU or ICU is required
Added 1 month ago
RV
Pharmacist
Royal Victoria Regional Health Centre
Barrie, ON
- Full-time
Knowledge of current evidence-based, best practice pharmacotherapeutics & pharmacokinetics and their application to patient-centred pharmaceutical care
Added 1 month ago
RM
IT Business Analyst (ServiceNow)
REDPATH MINING
Vaughan, ON
- Full-time
The IT Business Analyst role is to support the Business Applications team in the planning, design, development, and support of efficient business systems within core organizational…
Added 1 month ago
AA
Software Verification Engineer
Aviya Aerospace Systems
Mississauga, ON
- $67,000 to $97,000 CAD / year
- Full-time
Experience with C and C++ programming languages for embedded software development.
Added 1 month ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
Added 1 month ago
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Nurse A - Registered Nurse General Duty Nurse
HealthCareersInSask.ca
Swift Current, SK
- Part-time
Demonstrated commitment to continuing professional development
Added 1 month ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Applicants are required to submit both their resume and their most recent unofficial transcript as part of the application process.
Added 1 month ago
Community Mental Health Worker - Prevention and Promotion
Winnipeg Regional Health Authority
Notre-Dame-de-Lourdes, MB
…health program for mental health related problems. Through the application of therapeutic skills that promote and build on individual’s strengths, the CMHW assists the individual/family to…
Added 1 month 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…

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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Work requirements

Jobs in Canada