Jobs in Canada

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Added 2 days ago
TC
Senior AI Solutions Lead Resource
ThirdEye CyberSecurity
Regina, SK
- Contract
Must have a minimum of five (5) years experience delivering software solutions; · Must have a minimum of two (2) years experience developing AI solutions;
Added 2 days ago
HT
Quality Assurance Specialist
Hirematic Talent Solutions
ON · Ontario, Canada
- $40 to $45 CAD / hour
- Full-time
Understanding of scripting languages (e.g., Python, JavaScript, Bash) for automation or test data setup.
Added 2 days ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms
Added 2 days ago
A
Software Designer
Actalent
Ottawa, ON
- $55 to $72 CAD / hour
- Contract
Experience with Python or MATLAB for algorithm prototyping, analysis, simulation, or automation.
Added 2 days ago
SM
RQ11860 – Database Administrator – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11580 – Software Developer – Senior (Onsite)
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite Requirement: 5 days per week
Added 2 days ago
SM
RQ11859 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
A
Spécialiste, Interopérabilité 3D Et Transformation Numérique Manufacturière
Actalent
Longueuil, QC
- $40 to $46 CAD / hour
- Contract
Connaissances de base en statistiques, Python ou C++.
Added 2 days ago
R
Data Scientist, SAS-to-Python Migration (Expert)
Raise
Toronto, ON
- Full-time
Must Have Skills
Added 2 days ago
R
Data Scientist, SAS-to-Python Migration
Raise
Toronto, ON
- Full-time
Must Have Skills
Added 2 days ago
E
Energy Market Modelling and Analytics Specialist
ENMAX
Calgary, AB · ENMAX Place, Calgary, AB
- Full-time
Proficiency with Python, SQL, Excel, and other quantitative software applications.
Added 2 days ago
L
Senior Software Engineer - Global Product Technology (Anaplan, Snowflake)
lululemon
Vancouver, BC
- Full-time
…between Anaplan and enterprise platforms using APIs, AWS S3, SQL, Python, and orchestration tools such as Apache Airflow, including data transformation, reconciliation, monitoring, and…
Added 2 days ago
A
FPGA Design Engineer
Actalent
Ottawa, ON · Nepean, ON
- $65 to $85 CAD / hour
- Full-time
Exposure to scripting (for example, Python) to automate design, simulation, or verification tasks.
Added 3 days ago
E
Application Monitoring Specialist
Experis
Mississauga, ON
- $45 to $65 CAD / hour
- Contract
Location: Mississauga, ON (Hybrid, 1-2 days onsite)
Added 3 days ago
P
Software Developer
Priceline
Toronto, ON
- Full-time
…partners to find the best deals for our customers. As a Software Developer on the Itinerary Generation team in Flights, you’ll design, build and run the services behind that, as part of a…
Added 3 days ago
AI
Senior Enterprise AI Solutions Lead
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Regina, SK
- Full-time
Work Model: 100% Onsite – Monday to Friday, 5 days a week in office (Downtown Regina, SK)
Added 3 days ago
ES
Senior Business Intelligence Developer
Epsilon Solutions Ltd.
Mississauga, ON
- Contract
Must have experience on DAX
Added 3 days ago
IG
Test Software Developer - Embedded Systems
Insight Global
Sainte-Anne-de-Bellevue, QC
- $50 to $55 CAD / hour
- Contract
This role is on-site x4 days per week in the west Island of Monreal
Added 3 days ago
IG
Embedded Software Developer C++
Insight Global
Sainte-Anne-de-Bellevue, QC
- $45 to $50 CAD / hour
- Contract
Ce poste est en présentiel 4 jours par semaine, du lundi au jeudi, dans le secteur de l’Ouest-de-l’Île de Montréal
Added 3 days ago
AI Safety Lab Lead
National Research Council Canada
Ottawa, ON
Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).
Added 3 days ago
SL
Python Backend Engineer
Staffingine LLC
Toronto, ON
- Contract
Seeking experienced Python Backend Engineers to design, develop, and scale secure, high-performance backend systems for enterprise financial platforms. The role focuses on Python…
Added 3 days ago
HR
DevOps Analyst Intern
Hitachi Rail
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
Social Intern Events: Coffee Breaks, Onsite/Offsite events
Added 3 days ago
LL
Product Engineer
Lakeview Loan Servicing
Toronto, ON
- Full-time
This is ideally a hybrid position that would be onsite 2 times each week in either our NYC or Toronto Ontario office. Candidates local to either location will be expected to be onsite each…
Added 3 days ago
Embedded Software Engineer
PVLabs
Burlington, ON
Proficiency with GDB or comparable debugging tools, Git, and Bash and Python scripting. Experience with Linux-based host development, including Ubuntu under WSL2.
Added 3 days ago
P
Associate Software Developer
Priceline
Toronto, ON
- Full-time
…the best deals for our customers. As an Associate Software Developer on the Itinerary Generation team in Flights, you’ll build and ship the services behind that, as part of a stable,…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 11, 2026

Original job description

Requirements

Description & Requirements

Who we are

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

About This Team

The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

Core Responsibilities

As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training through evaluation, deployment, and production monitoring. You will contribute to meaningful technical decisions on model architecture, training strategies, and serving infrastructure, working with minimal supervision to deliver reliable, high-quality AI capabilities aligned to business objectives. You will collaborate closely with research scientists, data scientists, and product engineers to translate model innovations into scalable production systems, and begin to develop mentorship and knowledge-sharing habits within the team.

Select Responsibilities Include

Design and implement end-to-end AI/ML systems covering dataset curation, feature engineering, model training, hyperparameter optimization, evaluation, deployment, and retraining
Apply appropriate model architectures, training strategies, and optimization techniques for given tasks including classification, regression, ranking, generation, and retrieval
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Deploy models to production using CI/CD automation including A/B testing, canary rollouts, shadow deployment, and automated rollback procedures
Contribute to implementation of model serving infrastructure meeting latency, throughput, and cost requirements using serving frameworks (TorchServe, Triton, BentoML, or equivalent)

Qualifications

Bachelor's degree in Computer Science, Machine Learning, Statistics, or related technical field, or equivalent experience; Master's degree in ML or AI beneficial
4-8 years of AI/ML engineering experience designing and owning end-to-end ML systems including model training, evaluation, and production deployment, or equivalent, which includes educational experience (e.g., Master's degree)
Proven ability to design and implement production-grade AI/ML application components applying best-practice software engineering including CI/CD integration, automated testing, and service reliability patterns
Demonstrated experience with independently design model training strategies including architecture selection, optimization approach, and evaluation methodology aligned to business requirements
Demonstrated experience owning full model deployment lifecycle including CI/CD automation, canary releases, A/B testing, and automated rollback
Demonstrated ability to define ML Ops platform standards and reusable deployment templates adopted across the domain
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms

Must haves

Acknowledge the presence of choice in every moment and take personal responsibility for your life.
Possess an entrepreneurial spirit and continuously innovate to achieve great results.
Communicate with honesty and kindness and create the space for others to do the same.
Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
Foster connection by putting people first and building trusting relationships.
Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.

Additional Notes

Authorization to work in Canada is required for this role

Compensation And Benefits Package

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $127,140-$166,870 annually ; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements.  

At Lululemon, Investing In Our People Is a Top Priority. We Believe That When Life Works, Work Works. We Strive To Be The Place Where Inclusive Leaders Come To Develop And Enable All To Be Well. Recognizing Our Teams For Their Performance And Dedication, Other Components Of Our Total Rewards Offerings Include Support Of Career Development, Wellbeing, And Personal Growth

Extended health and dental benefits, and mental health plans
Paid time off
Savings and retirement plan matching
Generous employee discount
Fitness & yoga classes
Parenthood top-up
Extensive catalog of development course offerings
People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

workplace arrangement

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and implement end-to-end AI/ML systems, including data preparation, feature engineering, model training and evaluation, deployment, and production monitoring. Build scalable training and serving infrastructure, apply deployment practices such as A/B testing and canary releases, and collaborate with research, data science, and product teams to deliver reliable AI capabilities.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent experience; a master's degree in ML or AI is beneficial. Candidates should have 4–8 years of AI/ML engineering experience and demonstrate production ML system ownership, model training strategy, deployment automation, software engineering practices, and experience with common ML tools and cloud platforms.

Skills

Python
Spark
Airflow
MLflow
PyTorch Distributed
Horovod
Ray Train
Amazon SageMaker
Vertex AI
Azure Machine Learning
TorchServe
NVIDIA Triton
BentoML
Feature Engineering
Distributed Training
MLOps

Benefits

Annual Bonus
Equity Offerings
Career Development
Extended Health Benefits
Dental Benefits
Mental Health Plans
Paid Time Off
Savings And Retirement Plan Matching
Employee Discount
Fitness And Yoga Classes
Parenthood Top-Up
Development Courses
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
End-To-End ML Systems
Dataset Curation
Feature Engineering
Model Training
Hyperparameter Optimization
Model Evaluation
Model Deployment
Production Monitoring
Classification
Regression
Ranking
Generative Models
Retrieval
Distributed Training
CI/CD
A/B Testing
Canary Releases
Shadow Deployment
Automated Rollback
Model Serving
Latency Optimization
Throughput Optimization
Cost Optimization
Cloud ML Platforms
MLOps Standards
Automated Testing
Service Reliability
Data Governance

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Work requirements

Jobs in Canada