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Added 4 months ago
QA
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
- Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 3 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
SQL & Programming: Expert proficiency in SQL (Postgres, SQL Server, etc) and strong development skills in Python (Python 3.x).
Added 2 months ago
M
Software Engineer – Ground Systems / Operations
MDA
Saint-Bruno-de-Montarville, QC
- Full-time
MDA Geospatial Services is strengthening the software development team in support of satellite operations and is seeking an experienced and versatile Software Engineer to join our team in…
Added 23 days ago
PG
Databricks Data Engineer
Pacer Group
Toronto, ON
- $57 to $59 CAD / hour
- Contract
Advanced SQL and Python development skills with ETL/ELT experience.
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Microservices architecture using Docker, Terraform, AWS ECS, and other AWS services
Added 4 months ago
T
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Techedin
Toronto, Ontario
- $65 to $72 CAD / hour
- Contract
Strong experience with Python, Spark (PySpark, Spark SQL), and SQL.
Added 2 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 23 days ago
B
Senior Software Developer
BlueCat
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Software Engineer with strong communication, and collaboration abilities to join our dynamic team. The ideal candidate will have expertise in…
Added 2 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
- Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 23 days ago
H
Data Engineer
Hays
Toronto, ON · North York, ON
- Contract
· Develop robust data solutions leveraging Google BigQuery, Python, stored procedures, and cloud-native technologies.
Added 23 days ago
IS
Data Platform Engineer
ITMC Systems, Inc
Toronto, ON
- Contract
Job Overview We are seeking a Senior Backend Data Platform Engineer (10+ years experience) to design, build, and maintain our EMFI Data Application Platform, a high-throughput financial…
Added 2 months ago
TG
Senior Quality Assurance Engineer
TMX Group
Toronto, ON
- $65 to $85 CAD / hour
- Full-time
We are seeking a highly skilled and detail-oriented QA Automation Engineer for a 4-month contract to join our TSX Trust Web Team. In this role, you will design, develop, and execute…
Added 4 months ago
A
Dynatrace Observability Consultant - Bilingual (FR)
Arctiq
Montreal, Quebec
- Full-time
Over 2 years of experience with IAC, automation and configuration management solutions, utilizing tools like Ansible, Terraform, Octopus Deploy, AWS Config, and Azure Automation & Control.
Added 2 months ago
MS
Senior Full Stack Engineer
Motorola Solutions
Vancouver, BC
- Full-time
Strong experience with SQL data stores and designing relational data models
Added 1 month ago
Staff Machine Learning Platform Engineer
Faire
Kitchener, ON · Toronto, ON
Proficiency in Python, SQL, and distributed systems concepts
Added 1 month ago
Senior Staff Machine Learning Platform Engineer
Faire
Kitchener, ON · Toronto, ON
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and…
Added 23 days ago
Senior Software Engineer
Vivid Seats
Toronto, ON
The Opportunity: As a Senior Software Engineer at Vivid Seats, you’ll play a critical role in developing and supporting systems responsible for the acquisition of multi-million dollar…
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Microservices architecture using Docker, Terraform, AWS ECS, and other AWS services
Added 24 days ago
AC
Data Engineer - AWS, Snowflake, DBT
Aviva Canada
Markham, ON
- Full-time
Proficient in AWS, Snowflake, Python and DBT to design, implement, and optimize data quality solutions for our enterprise data management initiatives.
Added 23 days ago
Lead Data Engineer
Ipsos
Vancouver, BC
Proficiency in Python and advanced working knowledge of SQL.
Added 23 days ago
Business Systems Engineer, Intelligent Automation
Lyft
Toronto, ON
Write and optimize SQL/PL-SQL and custom scripts (Java/Groovy/JavaScript/Python); manage code via Git/GitHub; provide production support and on-call as needed.
Added 4 months ago
B
Machine Learning Engineer, Underwriting
Bree
Remote, Canada
- $130,000 to $230,000 USD / year
- Full-time
- Remote
We’re looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You’re passionate about deploying AI solutions, optimizing performance, and driving…
Added 24 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 5 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 USD / year
- Full-time
- Remote
Experience with the following: Python, SQL, ETL/ELT development, Test automation for data pipelines, Data quality automation, API integration, Airflow or workflow orchestration, AWS/Azure…
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer (Product AI), you'll build ML/AI tools that power SEAI's Decision Engine for our enterprise clients. You'll own the complete development lifecycle, from…

Faire

Staff Machine Learning Platform Engineer

Kitchener, ON, Canada
Toronto, ON, Canada

Canada: the pay range for this role is $216,000 to $297,000 per year.

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Job details

Pay: Canada: the pay range for this role is $216,000 to $297,000 per year.
Experience: 8+ years of experience building production ML or data platforms
Posting language: English
Posted: Aug 31, 2026

Original job description

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
Optimize performance, reliability, and cost across training and inference workloads
Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
Establish observability for data quality, model performance, and platform health
Build and maintain ML Platform technical documentation

What it takes

8+ years of experience building production ML or data platforms
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
Proficiency in Python, SQL, and distributed systems concepts
Experience with cloud platforms and infrastructure-as-code
Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
Experience supporting multiple ML teams in a shared platform environment
Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:

Category	Technologies
Languages	Python, SQL, Kotlin
ML Frameworks	PyTorch, MLFlow
Big Data & Processing	Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
Cloud & Infrastructure	AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
Generative AI	Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

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More about this job

Responsibilities

Design and operate a scalable ML platform to accelerate model training, deployment, and governance. Act as the technical bridge between data science and production engineering to productionize ML workloads.

Requirements

Requires 8+ years of experience building production ML or data platforms and a degree in Computer Science or a related field. Must have strong expertise in Databricks, Spark, and MLOps best practices.

Skills

Databricks
Spark
Delta Lake
MLflow
Python
SQL
Terraform
AWS
Kubernetes
Docker
CI/CD
MLOps
Distributed Systems
Unity Catalog
PyTorch
GitHub Actions

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Platform
MLOps
Spark
Delta Lake
MLflow
Databricks
Unity Catalog
Terraform
GitHub Actions
AWS
S3
SageMaker
Kubernetes
Docker
PyTorch
Kafka
Snowflake
Fivetran
Iceberg
Datadog
Airflow
Cockroach DB
MySQL
Claude Sonnet
ChatGPT
Distributed Systems
CI/CD
Data Governance
RBAC
IAM

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