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Added 2 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience with integration patterns, DevOps, CI/CD, or MLOps practices.
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 1 month ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD,…
Added 3 months ago
L
Data Scientist
Larus
Ottawa, Ontario
- Full-time
Added 3 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
Extensive knowledge of production infrastructure and pipelines for ML models (MLOps)
Added 3 months ago
B
Director, AI Solutions Architect
Brookfield
Toronto, Ontario
- Full-time
Familiarity with modern cloud-based data and AI platforms and MLOps or model operations practices
Added 3 months ago
B
Software Engineer - Enterprise Platform
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual…
Added 3 months ago
K
Software Engineer II, AI
Klue
Toronto, Ontario
- $115,000 to $149,000 CAD / year
- Full-time
MLOps tools: Weights & Biases, MLflow, Langfuse
Added 3 months ago
S
AI Platform Engineer – DevOps
Synechron
Halifax, Nova Scotia
- $85,000 to $100,000 CAD / year
- Full-time
…applications. This role sits at the intersection of DevOps, MLOps, cloud engineering, and platform engineering, enabling data scientists, ML engineers, and software teams to develop,…
Added 3 months ago
SQ
Engineering Manager
SuperQ Quantum Computing
Remote, Canada
- Full-time
- Remote
AI Engineering: Large-scale GPU cluster orchestration, MLOps pipelines, and low-latency inference infrastructure.
Added 1 month ago
B
Senior Specialist, Exploration AI Platform and Deployment
B2GOLD
Vancouver, BC
- $120,000 to $154,000 CAD / year
Added 2 months ago
G
Analyste de données / Data Scientist
Genetec
Remote, Canada
- Full-time
- Remote
Expérience dans le déploiement et la surveillance de modèles d’apprentissage automatique en production (MLOps)
Added 3 months ago
S
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
- Full-time
…les tests, le déploiement, l’observabilité et les pratiques MLOps et LLMOps à grande…
Added 2 months ago
TR
Manager of Research Engineering, TR Labs
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure)
Added 3 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Added 2 months ago
PS
Senior Applied AI Engineer
Public Sector Pension Investment Board
Montreal, QC
- Full-time
MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset
Added 4 months ago
T
Senior Manager, AI & Advanced Analytics
Toast
Calgary, Alberta
- $170,000 to $210,000 USD / year
- Full-time
Build the operational backbone of client AI programs, including intake, prioritization, delivery cadences, MLOps, and performance measurement
Added 2 months ago
TH
Manager, Data Science (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Added 2 months ago
SI
Lead Product Manager, Recommendations
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Added 4 months ago
L
Associate Principal - Consulting
LTM
Ontario · Ontario, Canada
- $100,611 to $158,000 USD / year
- Full-time
Seeking a skilled Data Scientist to develop and deploy advanced ML and AI solutions focusing on timeseries forecasting GenAI workflows and AWSbased MLOps pipelines
Added 2 months ago
M(
Senior Applied Machine Learning Developer, Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 3 months ago
Data Scientist
Government of Alberta
Edmonton, AB
Added 4 months ago
E
Senior Manager, Data Engineering
ecobee
Toronto, Ontario
- Full-time
Terraform, Docker, MLOps Platform (VertexAI, MLFlow)

Index Exchange

Principal Machine Learning Architect

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution.
Posting language: English
Posted: Jul 11, 2026

Original job description

At Index Exchange, we’re reinventing how digital advertising works - at scale. We are a globally trusted independent supply-side platform, powering intelligent decisioning to maximize value for media owners and deliver stronger outcomes for buyers.

We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.

We process more than 550 billion real-time auctions every day (in comparison, Google processes about 14 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.

At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.

About The Role

This is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights.

We have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions.

Here’s What You’ll Be Doing

Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation
Ensure continuous high-quality input for ML model development
Design and implementation of model delivery systems
Develop effective strategies on deployment and hosting of ML models
Manage and monitor deployed models
Ability to deploy fast or real time inferencing a plus

Here's What You Need

Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role
Industry experience applying ML at scale
Extensive knowledge of production infrastructure and pipelines for ML models (MLOps)
Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems
Experience with Python or other relevant programming languages and Machine Learning frameworks
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Interest in performance optimizations
Deep knowledge of math, probability, statistics, and algorithms
Strong business acumen with the ability to work cross-functionally to source data, establish requirements and define success
Experience working with an advanced engineering team
Knowledge of best practices for software engineering
Bonus if you have a software engineering background
Published articles or papers

Nice To Have

Experience with participating in the machine learning competitions such as Kaggle
Experience in ad tech (i.e. knowledge of digital programmatic advertising data)

Why You’ll Love Working Here

Comprehensive health, dental, and vision plans for you and your dependents
Paid time off, health days, and personal obligation days plus flexible work schedules
Competitive retirement matching plans
Equity packages
Generous parental leave available to birthing, non-birthing, and adoptive parents
Annual well-being allowance plus fitness discounts and group wellness activities
Commuter benefits and discounts, where available
Employee assistance program
Mental health first aid program that provides an in-the-moment point of contact and reassurance
One day of volunteer time off per year and a donation-matching program
Monthly town halls and regular community-led team events
Multiple resources and programming to support continuous learning
A workplace that supports a diverse, equitable, and inclusive environment – learn more here

Equal employment opportunity

At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification - diversity is the human experience. For those who show grit, passion, and humility - Index will welcome you.

Accessibility For Applicants With Disabilities

Index Exchange welcomes and encourages individuals with disabilities to apply to work with us.

If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.

Index everywhere, Index anywhere

Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.

AI Disclaimer: Automated tools including artificial intelligence may be used to assist in screening and assessing applicants for this role. All hiring decisions involve human review.

Vacancy Status: This posting is for an existing vacancy.

Apply About employer

More about this job

Responsibilities

Design and develop complex data-centric solutions for machine learning applications. Manage and monitor deployed models while ensuring high-quality input for model development.

Requirements

Candidates should have a Master's or PhD in a STEM field and extensive experience applying machine learning at scale. Knowledge of production infrastructure for ML models and experience with various ML techniques is essential.

Skills

Machine Learning
Data Science
MLOps
Python
Classification
Regression
Pattern Recognition
Recommendation Systems
Targeting Systems
Ranking Systems
Algorithms
Statistics
Probability
Software Engineering
Performance Optimization
Data Verification

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Flexible Work Schedules
Retirement Matching Plans
Equity Packages
Parental Leave
Well-Being Allowance
Fitness Discounts
Commuter Benefits
Employee Assistance Program
Mental Health First Aid Program
Volunteer Time Off
Donation-Matching Program
Continuous Learning Resources

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
MLOps
Python
Classification
Regression
Pattern Recognition
Recommendation Systems
Targeting Systems
Ranking Systems
Algorithms
Statistics
Probability
Software Engineering
Performance Optimization
Data Verification
Digital Advertising
Ad Tech
Real-Time Auctions
Infrastructure
Cloud
Data Transformation
Feature Generation
Model Delivery Systems
Deployment Strategies
Monitoring
Continuous Learning
Diversity
Equity
Inclusion

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