Jobs in Canada

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Added 3 days ago
A
Java Software Engineer
Akkodis
Waterloo, ON
- Contract
Position: Software Engineer (4) – Premium Senior Engineer
Added 3 days ago
RM
Associate
Revenue Management Labs
Toronto, ON
- Full-time
Advanced Excel and PowerPoint skills; familiarity with SQL, Python, or other analytics tools is a plus
Added 3 days ago
RM
Consultant
Revenue Management Labs
Toronto, ON
- Full-time
Proficiency in Excel and PowerPoint; experience with Tableau, Power BI, SQL, or Python is a plus
Added 3 days ago
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Consultant, Services de conseil et d’analyse / Consultant, Consulting & Analytics Services
IQVIA
Mississauga, ON · Montreal, QC · Quebec, QC
- Full-time
Participer à des interactions clients (p. ex., appels, ateliers) pour clarifier les besoins, tester des hypothèses et expliquer les méthodes, avec soutien de l’équipe senior.
Added 3 days ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
Lead client development engagements at senior level - facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and…
Added 3 days ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
Added 3 days ago
H
Senior Application Security Engineer
Hays
Mississauga, ON
- Full-time
The Senior Application Security Analyst is responsible for embedding security into the software development lifecycle (SDLC) by partnering closely with application and engineering teams.
Added 3 days ago
CP
Sr. Specialist Market Risk
Capital Power
Calgary, AB
- Full-time
Hybrid work with 3 days in office
Added 3 days ago
IS
DevOps Platform Engineer (Terraform/EKS)
Iris Software Inc.
Toronto, ON
- Contract
Need a senior developer who understand sageops and container management - Dealing with container images, versioning, branching, integration with CI/CD
Added 3 days 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 3 days 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 3 days ago
Catastrophe Risk Specialist / Senior Catastrophe Risk Specialist
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Vancouver, BC · Calgary, AB · ON · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON · Hybrid - Canada, ON
Senior Catastrophe Risk Specialist: salaries range from $115,000-$135,000, depending on qualifications and experience.
Added 3 days ago
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Senior Pipeline Engineer
DNV
Calgary, AB
- Full-time
DNV – Digital & Data Solutions Pipeline Hydraulics Delivery team is seeking a Senior Liquids/Gas Pipeline Engineer. The role will focus on the implementation and support of the DNV Synergi…
Added 3 days ago
LT
Senior Stress Engineer
L3Harris Technologies
Mirabel, QC
- $113,000 to $163,000 CAD / year
Job Schedule: Day Shift
Added 3 days ago
IQ
ERWIN + AWS REDSHIFT GURU | SENIOR DATA MODELER | LIQUIBASE | TORONTO, CANADA
Infinity Quest
Toronto, ON
- Contract
Added 3 days ago
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Senior Data Engineer
Healthfirst
Toronto, ON
- $63 to $65 CAD / hour
- Contract
Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on…
Added 3 days ago
XT
Senior DevSecOps Engineer | Mississauga, ON, Canada
Xforia Tech
Mississauga, ON
- Contract
We are seeking an experienced Senior DevSecOps Engineer with strong software engineering and distributed systems development experience. The ideal candidate will have hands-on programming…
Added 3 days ago
CO
Job ID #32329: Data Scientist - PH
City of Hamilton
Hamilton, ON
- Full-time
…organization. Works collaboratively with Hamilton Public Health’ Senior Management team in the development of foundational information technology strategy, multi-year business plans and…
Added 3 days ago
AC
Senior Health Economics Consultant (F/M/X)
Amaris Consulting | Part of Mantu
Montreal, QC
- Full-time
Being a senior consultant at Amaris Consulting means positioning yourself as a technical and functional expert in an industrial field, while representing our organization to clients through…
Added 3 days ago
AC
Senior Health Economics Consultant (F/M/X)
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Being a senior consultant at Amaris Consulting means positioning yourself as a technical and functional expert in an industrial field, while representing our organization to clients through…
Added 3 days ago
AC
Development Lead
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Development Lead is a senior, hands-on developer who drives sprint execution and delivery outcomes within an Agile delivery pod, and who practices AI-first, agentic engineering as the…
Added 3 days ago
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Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
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…
Added 3 days ago
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Senior Software Engineer
Virtusa
Mississauga, ON
- Full-time
Programming/Scripting: knowledge and experience with Shell scripting, Python, Perl, Java, C/C++
Added 3 days ago
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Senior Azure Cloud Platform Engineer
Pinnacle
Toronto, ON
- Full-time
Job Title: Senior Azure Cloud Platform Engineer
Added 3 days ago
RB
Sr Mgr, Cred Risk Acquisition
Rogers Bank
Toronto, ON
- Full-time
We are looking for an experienced and highly analytical Senior Manager, Credit Risk Strategy, Acquisition to lead the development and optimization of credit card acquisition strategies.

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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Work requirements

Jobs in Canada