Jobs in Canada

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Added 9 mins ago
CO
Temporary Technical Lead (Housing Accelerator Fund) Up to 18 Months
City of Saint John
Saint John, NB
- Temporary
A minimum of three (3) years of experience in project management or municipal project delivery, with an emphasis on process improvement and operational efficiency, is required.
Added 9 mins ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…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…
Added 24 mins ago
Solution Delivery Manager
Rogers Communications
Toronto, ON · Brampton, ON · Calgary, AB
Proven ability to lead cross-functional delivery involving Product, Business, Architecture, Engineering, Security, Quality Assurance, Operations, vendors, and multiple technology domains.
Added 39 mins ago
C
Vice-président(e), centres mondiaux de prestation
CGI
Sherbrooke, QC
- Full-time
Lead initiatives to strengthen governance maturity, including quality, risk management, security and service delivery standards.
Added 39 mins ago
C
Organizational Change Manager
CGI
Halifax, NS
- Full-time
This role is hybrid and requires you to be at our client's and/or the CGI Halifax office a minimum of 3 days per week - subject to change at any time
Added 39 mins ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
Previous technical leadership or team lead experience.
Added 39 mins ago
VB
Sr. Manager of Projects Controls - Canada
Vale Base Metals
Toronto, ON
- Full-time
…Metals' Canadian studies portfolio. The role serves as the technical leader for the estimating and cost control discipline in Canada and is accountable for the methodologies, standards,…
Added 39 mins ago
KD
Directeur stratégie commerciale et gestion de la croissance du revenu/ Manager, Trade Strategy and Revenue Growth Management
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
Added 39 mins ago
P&
Gestionnaire de fabrication – Lignes d’assemblage / Manufacturing Line Manager – Assembly Lines
Pratt & Whitney
Mirabel, QC
- Full-time
Added 1 hour ago
S
Regional Delivery Manager
Skip
Toronto, ON
- Full-time
The Regional Delivery Manager is accountable for achieving network KPI & budget targets for the regions they are responsible for. You will be expected to investigate the root cause of…
Added 1 hour ago
A
Senior Study Manager
Ausenco
Burnaby, BC
- Full-time
…environments. Delivering innovative, value-add consulting, project delivery, asset operations and maintenance solutions is what we do. From 22 offices in 9 countries, with projects in over…
Added 1 hour ago
S
Nurse, Clinical Informatics Specialist
Sanya’k̓ula
Vancouver, BC
- Full-time
…with other subject matter experts to support development and delivery of education for end users to enhance adoption, including use of clinical decision support tools within the clinical…
Added 1 hour ago
CS
Youth Experience Assistant (Calgary)
Circuit Stream
Calgary, AB
- $20 CAD / hour
- Internship
…and excited to help young people discover where theirs might lead, you’ll thrive…
Added 1 hour ago
IS
DevOps & Cloud Infrastructure Engineer
Idealogical Systems Inc
Markham, ON
- Full-time
Integrate security checks into delivery workflows and coordinate responses to technical risks.
Added 2 hours ago
A
Senior Systems Analyst - DocuSign Platform
Akkodis
Toronto, ON
- Contract
Work Model: Hybrid - 3 days per week in office
Added 2 hours ago
CI
Bilingual French/English Learning & Development Specialist (Contract)
CoreFactor Inc.
ON · Montreal North South, Ontario
- Contract
This position is hybrid and will require the successful consultant to be onsite four (4) days per week in the Montreal region · Must have strong internal consulting, change management, and indirect influencing skills
Added 2 hours ago
CI
Manager, Cyber Security Governance, Rish & Compliance (Permanent)
CoreFactor Inc.
ON · Etobicoke Northwest (Clairville / Humberwood / Woodbine Downs / West Humber / Kipling Heights / Rexdale / Elms / Tandridge / Old Rexdale), Ontario
- Full-time
This position is hybrid and will require the successful incumbent to go into the office two (2) days per week
Added 2 hours ago
PC
Deals Restructuring Director
Pwc Canada
Calgary, AB
- Full-time
As a Deals Restructuring Director, you will work with the partner team to source new restructuring mandates, lead teams to execute advisory & restructuring mandates and support the…
Added 2 hours ago
C
Bilingual French/English Learning & Development Specialist (Contract)
CoreFactor
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
This position is hybrid and will require the successful consultant to be onsite four (4) days per week in the Montreal region · Must have strong internal consulting, change management, and indirect influencing skills
Added 2 hours ago
SC
Technical Specifications Coordinator
SYSTRA Canada
Montreal, QC
- Full-time
…infrastructure, rail systems, procurement, and project controls, the Technical Specifications Coordinator will lead the development, coordination, integration, and quality assurance of…
Added 2 hours ago
AE
Project Engineer – Infrastructure (Facilities)
Associated Engineering
Toronto, ON
- Full-time
Proven technical expertise in the design and delivery of Civil engineering design including water/wastewater treatment facilities, booster pump stations, sewage pump stations, or reservoirs
Added 2 hours ago
GC
Development Manager - NHL
Game Companies
Vancouver, BC
- Full-time
Reporting to a Development Director, the Development Manager (DM) ensures the game feature delivery is on time and within budget. You will provide support to our Visual team, and will…
Added 2 hours ago
GC
Development Manager - EA Sports FC
Game Companies
Vancouver, BC
- Full-time
Reporting to a Development Director, a Development Manager (DM) within the game development team ensures the delivery of game features is on time and within budget. You as the DM will…
Added 2 hours ago
C
Manager, Cyber Security Governance, Rish & Compliance (Permanent)
CoreFactor
Toronto, ON · Etobicoke, ON
- Full-time
This position is hybrid and will require the successful incumbent to go into the office two (2) days per week
Added 3 hours ago
KC
Associate Director, Programmatic
Kim Cosic Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Associate Director, Programmatic leads the development and delivery of audience-based media programs across a large CPG client and eventually a portfolio of clients, with a strong focus…

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