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Added 9 mins ago
W
Office Administrator (Rosedale Family Office)
Wellington-Altus
Toronto, ON
- Full-time
…and timely administrative and customer-service support to the Advisor teams and their…
Added 9 mins ago
HO
Pay and Benefits Advisor
House of Commons (Canada) / Chambre des communes (Canada)
Ottawa, ON
- Full-time
The House of Commons’ Human Resources Services is currently looking to staff the Pay and Benefits Advisor position.
Added 9 mins ago
IF
Functional Architecture Advisor, Financial Systems
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…accounting and financial processes? As a Functional Architecture Advisor, you will play a key role in defining and evolving robust, cohesive solutions that align with business needs and…
Added 9 mins ago
RB
Client Advisor
Royal Bank of Canada
Swan River, MB
- Full-time
…a great career with us as a future Account Manager/Banking…
Added 9 mins ago
RB
Will and Estate Advisor
Royal Bank of Canada
Montreal, QC
- Full-time
As an RBC Royal Trust professional, the Will and Estate Advisor is responsible for the acquisition of new wills and powers of attorney/mandates appointing Royal Trust in a fiduciary…
Added 9 mins ago
RB
Client Advisor
Royal Bank of Canada
Guelph, ON
- Part-time
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Added 9 mins ago
RB
Associate
Royal Bank of Canada
Montreal, QC
- Full-time
…remain up to date and compliant, and working with an Investment Advisor in managing client portfolios and wealth management planning…
Added 9 mins ago
RB
Senior Associate
Royal Bank of Canada
Richmond Hill, ON
- Full-time
By providing ongoing, exceptional service and support to our clients and our Advisor team, you will help our team deepen existing relationships and welcome new clients to the firm. As an…
Added 23 mins ago
MR
Senior Solutions Engineer
Metrics Recruitment
Vancouver, BC · Greater Vancouver, BC
- $115,000 to $140,000 CAD / year
- Full-time
Act as a strategic and technical advisor to partners, helping shape both the solution design and the go-to-market approach for new rollouts.
Added 23 mins ago
ZA
Apprentice Technician - Jaguar Land Rover Brampton - 25433
Zanchin Automotive Group
Brampton, ON
- Full-time
communicate with the Service Advisor and Shop Foreman to provide updates regarding the vehicle
Added 23 mins ago
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Senior Implementation Consultant
Nakisa
Montreal, QC
- Full-time
…business challenges into working solutions. You will be the senior advisor clients rely on through delivery. You will help Sales scope service engagements, so projects start on solid…
Added 23 mins ago
WW
Platform Facilitator and Technology Specialist
Worldsource Wealth Management
Markham, ON
- $80,000 to $90,000 CAD / year
- Full-time
The Platform Facilitator and Technology Specialist plays a key role in supporting advisor growth, onboarding, and adoption of technology across existing and prospective Worldsource…
Added 23 mins ago
E
Bilingual - Sr Talent Acquisition Specialist (French + English)
Epiroc
Mississauga, ON
- $95,912 to $126,870 CAD / year
- Full-time
Act as a trusted advisor to HRBPs, HR Managers, and hiring leaders on talent availability, market conditions, compensation insights, and effective recruitment strategies.
Added 23 mins ago
HO
Pay and Benefits Advisor
House of Commons of Canada Chambre des communes du Canada
Ottawa, ON
- $69,900 to $88,445 CAD / year
- Full-time
The House of Commons’ Human Resources Services is currently looking to staff the Pay and Benefits Advisor position.
Added 24 mins ago
R
Senior Associate
RBC
Richmond Hill, ON
- Full-time
By providing ongoing, exceptional service and support to our clients and our Advisor team, you will help our team deepen existing relationships and welcome new clients to the firm. As an…
Added 24 mins ago
R
Associate
RBC
Brossard, QC
- Full-time
…remain up to date and compliant, and working with an Investment Advisor in managing client portfolios and wealth management planning…
Added 24 mins ago
R
Banking Advisor
RBC
Hillsburg, MB
- Full-time
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Added 24 mins ago
R
Will and Estate Advisor
RBC
Montreal, QC
- Full-time
As an RBC Royal Trust professional, the Will and Estate Advisor is responsible for the acquisition of new wills and powers of attorney/mandates appointing Royal Trust in a fiduciary…
Added 24 mins ago
R
Client Advisor
RBC
Swan River, MB
- Full-time
…a great career with us as a future Account Manager/Banking…
Added 24 mins ago
R
Senior Associate
RBC
Richmond Hill, ON
- Full-time
By providing ongoing, exceptional service and support to our clients and our Advisor team, you will help our team deepen existing relationships and welcome new clients to the firm. As an…
Added 24 mins ago
R
Administrative Assistant
RBC
Toronto, ON
- Full-time
…ongoing, exceptional service and support to our clients and our Advisor team, you will help our team deepen existing relationships and welcome new clients to the firm. Offering efficient…
Added 24 mins ago
Human Resources Coordinator E049-26
Legal Aid BC
Vancouver, BC
PRIMARY FUNCTION: Reporting to the Senior Human Resources Advisor, this position provides administrative services and human resources support services to the Manager and Human Resources…
Added 24 mins ago
O
Relationship Advisor
OPTrust
Toronto, ON
- Full-time
Reporting directly to the CIO, the Relationship Advisor will oversee various operational and business administration aspects pertaining to all requirements of the CIO’s office. The…
Added 39 mins ago
GF
Fitness Advisor (Sales) - Edmonton Rabbit Hill Road and 23rd Ave
GoodLife Fitness
AB
- Full-time
The Fitness Advisor is responsible for recruiting and working with new members to understand their specific health and fitness goals and provide recommendations for how they can achieve…
Added 39 mins ago
GF
Sales (Fitness Advisor) - Winnipeg Refinery District
GoodLife Fitness
Winnipeg, MB
- Full-time
The Fitness Advisor is responsible for recruiting and working with new members to understand their specific health and fitness goals and provide recommendations for how they can achieve…

Closed listing

Digital Nomad World

Senior Staff Machine Learning Platform Engineer

ON, Canada
Ontario, Canada, Canada

Canada: the pay range for this role is $248,000 to $341,000 per year. · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: Canada: the pay range for this role is $248,000 to $341,000 per year.
Job type: Full-time
Closing date: Nov 4, 2026
Experience: 10-12 years of experience building and improving large-scale ML or data platforms.
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Kubernetes Machine Learning Python

Remote eligibility: Ontario, Canada.

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.

Note: This role can also be performed remotely for candidates located in Ontario, Canada.

About This Role

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 lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
Optimize performance, reliability, and cost of the ML platform
Evaluate and integrate emerging Databricks features
Stay ahead of the curve by engaging with the latest developments in machine learning and AI
Serve as senior ML technical advisor to Faire’s data science and production engineering teams
Represent Faire at ML conferences and meetups
Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What It Takes

10-12 years of experience building and improving large-scale ML or data platforms.
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
Proven ability to design systems that support multiple data science teams and production workloads
Strong background in distributed systems, ML infrastructure, and cloud architecture.
Demonstrated technical leadership across teams and orgs; ability to influence without authority
Experience integrating LLM workflows into enterprise platforms is a plus
Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

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, PySpark, 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 $248,000 to $341,000 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)

Originally listed on We Work Remotely.

About employer

More about this job

Responsibilities

Define and evolve the architecture and standards for Faire’s machine learning platform, including training, inference, governance, MLOps, experimentation, and observability. Lead cross-functional platform initiatives, optimize scalability, reliability, and cost, advise data science and production engineering teams, and mentor ML engineers.

Requirements

Requires 10–12 years of experience building or improving large-scale machine learning or data platforms, along with deep expertise in Databricks lakehouse architecture, Unity Catalog, Workflows, and cost optimization. A degree in computer science, engineering, statistics, or a related technical field is preferred, and candidates should bring strong distributed systems and cloud architecture experience plus demonstrated technical leadership.

Skills

Machine Learning Platform Architecture
Databricks
Unity Catalog
MLOps
Distributed Systems
Cloud Architecture
Python
SQL
Kotlin
PyTorch
PySpark
MLflow
Apache Spark
Delta Lake
Kubernetes
Machine Learning Governance

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Platform
Databricks
Lakehouse Architecture
Unity Catalog
Databricks Workflows
MLOps
CI/CD
Spark
Delta Lake
MLflow
Python
SQL
Kotlin
PyTorch
PySpark
Kafka
Snowflake
Fivetran
Apache Iceberg
Datadog
Airflow
CockroachDB
MySQL
AWS
Amazon S3
SageMaker
Kubernetes
Docker
Terraform

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