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Added 31 mins ago
Azure Databricks Engineer
Data Elephant
Calgary, AB
Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis in Calgary to design, build, and optimize modern data platforms on Azure Databricks. In this…
Added 48 mins ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 1 hour ago
Technology Lead - Databricks Admin
Infosys
ON
6+ years of experience in cloud-based database and platform administration (AWS/Azure).
Added 1 hour ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 2 hours ago
Junior Software Developer (contract position) / Développeur débutant de logiciels (poste contractuel)
CCMTA
Ottawa, ON
Full-time
…guidance and mentoring of our Development Team Lead, alongside a Platform Engineer, a Business Analyst and a Cloud Network and Security Analyst. As your skills grow, you will have the…
Added 3 hours ago
Senior Data Engineer
Style Analytics
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 5 hours ago
Senior Data Engineer
Confluence
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 5 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
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)
Added 6 hours ago
Senior Manager, Software Engineering
Capital One
Toronto, ON
Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 8 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 8 hours ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 8 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 9 hours ago
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
Full-time
This role ensures a seamless onboarding experience for our clients on SimCorp’s SaaS platform. You will manage and troubleshoot Azure pipelines, align client requirements with PaaS…
Added 9 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 10 hours ago
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 10 hours ago
Senior DevOps Developer
RBC
Bedford, QC
Full-time
Experience with a public cloud technology, i.e. Azure, AWS, GCP
Added 11 hours ago
Senior Software Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Software Engineer is responsible for developing, implementing, and supporting enterprise-grade cloud solutions leveraging Microsoft Azure and Microsoft Fabric. This role focuses…
Added 11 hours ago
Lead Infrastructure Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
Full-time
Certifications: Azure Solutions Architect Expert, Azure Administrator Associate, Azure DevOps Engineer Expert, Terraform Associate. Microsoft 365 Enterprise Administrator Expert, an asset.
Added 12 hours ago
Senior Certificate Automation Engineer
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Toronto, ON
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Platform & Cloud Experience: Hands-on experience with several of the following:
Added 13 hours ago
Senior Mulesoft Software Engineer
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Toronto, ON · Waterloo, ON
Full-time
…enterprise integration solutions. As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms that connect enterprise…
Added 13 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
Added 13 hours ago
Staff Software Engineer, AI Platform
Redpanda Data
Canada
Full-time
In this role, you will design and develop our ADP product, building on our Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You will lead system architecture, develop new…
Added 13 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 13 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 14 hours ago
Databricks Engineer (Contract)
Data Elephant
AB · Calgary, Alberta
Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic…

lululemon

AI/ML Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 22, 2026

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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.

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More about this job

Responsibilities

You will design and implement end-to-end AI/ML systems, managing the full model lifecycle from dataset curation to production deployment. Additionally, you will collaborate with cross-functional teams to build scalable training pipelines and ensure model performance meets business requirements.

Requirements

Candidates must have a bachelor's degree in a technical field and 4-8 years of experience in AI/ML engineering. Proven expertise in production-grade ML systems, CI/CD automation, and cloud-based ML platforms is required.

Skills

Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering

Benefits

Extended health and dental benefits
Mental health plans
Paid time off
Savings and retirement plan matching
Employee discount
Fitness and yoga classes
Parenthood top-up
Development course offerings
Mentorship programs
Annual bonus program
Equity offerings

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Engineer
Machine Learning
Python
Spark
Airflow
MLFlow
PyTorch
SageMaker
Vertex AI
Azure ML
CI/CD
Model deployment
Feature engineering
Distributed training
Model architecture
Data governance
Software engineering
Retail
Data & AI
Analytics
Automation
Triton
BentoML
TorchServe
Ray Train
Horovod
Cloud computing
MLOps
Predictive modeling
Performance apparel

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