Jobs in Canada

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Added 1 day ago
VT
Hardware Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
A full-time, onsite role, you must live within reasonable commuting distance to the Richmond office
Added 1 day ago
OW
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Oliver Wyman Group
Toronto, ON
- Other
…individual needs will be considered when staffing offsite vs onsite…
Added 1 day ago
S
Data Architect - Calgary
Slalom
Calgary, AB
- Full-time
Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
Added 1 day ago
GT
Risk Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $35 to $43 CAD / hour
- Contract
Onsite Flexibility: Hybrid – 4 days a week in office
Added 1 day ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
Added 1 day ago
IS
SQL Developer
IMR Soft LLC
Montreal, QC
- Contract
We are looking for an experienced PL/SQL Developer with strong Oracle PL/SQL and Unix/Linux skills. Experience with DB2 is preferred, but candidates willing to learn DB2 will also be…
Added 1 day ago
LT
QE LEAD / SDET
Lorven Technologies Inc.
Toronto, ON
- Contract
Work Mode: 4 Days Onsite – Mandatory (Not Negotiable)
Added 1 day ago
SM
RQ11880 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11881 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 1 day ago
RD
Senior Technical Analyst - DevOps & Production Ops
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our client is seeking a hands-on Senior Technical Analyst / Developer with a strong focus on AWS DevOps, cloud infrastructure, and production operations to deploy, scale, and support…
Added 1 day ago
LT
Python Developer
Lorven Technologies Inc.
Mississauga, ON
- Full-time
Strong Python development with solid object-oriented and functional design skills.
Added 1 day ago
IQ
ERWIN + AWS REDSHIFT GURU | SENIOR DATA MODELER | LIQUIBASE | TORONTO, CANADA
Infinity Quest
Toronto, ON
- Contract
Added 1 day ago
XT
Senior DevSecOps Engineer | Mississauga, ON, Canada
Xforia Tech
Mississauga, ON
- Contract
Hands-on programming experience with Java, C/C++, Python, and JavaScript (Node.js).
Added 1 day ago
L
Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.
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Senior 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 1 day ago
T
IT Solutions Architect – Box Platform
TalentWorld
Toronto, ON
- Temporary
…capabilities. The team works hybrid in Toronto, 2–3 days a week onsite, and you'll mentor developers and influence how integrations are built across the organization. It's a chance to put…
Added 1 day ago
RB
Sr Mgr, Cred Risk Acquisition
Rogers Bank
Toronto, ON
- Full-time
Strong hands-on analytical experience with SQL, Python, Power BI.
Added 1 day ago
Sr Mgr, Cred Risk Acquisition
Rogers Communications
Toronto, ON
Strong hands-on analytical experience with SQL, Python, Power BI.
Added 1 day ago
SM
RQ11880 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11881 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
MA
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Marsh Agency
Toronto, ON
- Full-time
…individual needs will be considered when staffing offsite vs onsite…
Added 1 day ago
MA
SVP, Actuary
Marsh Agency
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week

lululemon

Senior 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
Experience: 6-10 years of experience building and delivering AI/ML solutions into production
Posting language: English
Posted: Nov 12, 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. 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 a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply engineering best practices, implement rigorous evaluation frameworks, and design MLOps and observability standards. You will be the technical authority for ML engineering challenges from setting up model training and fine-tuning to architectures and system design for serving AI/ML inference solutions in production. You will help drive AI/ML engineering excellence through mentorship, design reviews, and platform investment. In this role, you will own technical delivery and partner with applied scientists, software engineers, and product teams to realize AI capabilities into production.

Select Responsibilities Include

Lead delivery of applied AI/ML solutions, including data pipelines, model training and experimentation infrastructure, evaluation systems, production-ready pipelines and APIs, and ML Ops for monitoring models or solutions in production.
Define ML engineering standards for model development, evaluation, and deployment; implement reusable training pipeline templates
Design and implement model evaluation systems and tooling including benchmark suites, human evaluation workflows, and online experiment platforms in partnership with applied science teams
Lead architecture and engineering of LLM and GenAI systems including RAG pipelines, fine-tuning infrastructure, and agentic frameworks
Build andmaintainAI observability frameworks covering model performance, data drift, training health metrics, and responsible AI monitoring
Build andoperatedistributed training pipelines for advanced ML and GenAI models
Implement scalable model serving architectures for real ‑ time and batch inference
Developing reusable MLOps components to support experimentation, deployment, monitoring, and rollback
Partner with AI/ML scientists to productionize models while meeting accuracy, performance, reliability, and responsible AI requirements

Qualifications

Bachelor's or Master’s degree in computer science, machine learning, or related technical field; Master's or equivalent experience beneficial
6-10 years of experience building and delivering AI/ML solutions into production
Demonstrated ability to define software engineering standards for AI/ML systems across the domain including code quality, testing requirements, service design patterns, and API contract guidelines
Demonstrated ability to define model implementation and training standards including architecture patterns, evaluation criteria, and responsible AI assessment frameworks adopted across the domain
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 achievegreat 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, akadoesn’ttake yourself too seriously.

Additional Notes

Authorization to work in the 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 $176,760-$232,000   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, 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

Lead the design, development, deployment, and maintenance of scalable AI/ML solutions, including data and training pipelines, evaluation systems, LLM and GenAI applications, and production inference services. Establish engineering, MLOps, and observability standards while partnering with scientists, engineers, and product teams to deliver reliable and responsible AI capabilities.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, or a related technical field, with a master's degree or equivalent experience beneficial. Candidates should have 6–10 years of production AI/ML experience and demonstrated ability to establish engineering, model development, evaluation, and MLOps standards; experience with Python, Spark, Airflow, MLflow, feature stores, and cloud ML platforms is also expected.

Skills

AI/ML Engineering
Python
Spark
Airflow
MLflow
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
MLOps
Distributed Training
Model Evaluation
Model Serving
Data Pipelines
Cloud ML Platforms
Feature Stores

Benefits

Annual Bonus Program
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
Career Development
Development Courses
People Networks
Mentorship Programs
Leadership Series

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
Spark
Airflow
MLflow
Feature Stores
Cloud ML Platforms
Generative AI
Large Language Models
Retrieval-Augmented Generation
Fine-Tuning
Agentic Frameworks
MLOps
Distributed Training
Model Serving
Real-Time Inference
Batch Inference
Data Pipelines
Model Training
Model Evaluation
Benchmark Suites
Human Evaluation
Online Experiments
AI Observability
Data Drift
Responsible AI
Production APIs
Monitoring
Rollback

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Jobs in Canada