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Added 1 hour ago
L
Sr Tech Sales Engineer Rep (LETS)
Lenovo
Markham, ON
- $105,000 to $161,000 CAD / year
…Data Center Solutions portfolio. Acting as a trusted technical advisor, this individual partners with Lenovo sales teams, technical sales specialists, business partners, and customers to…
Added 4 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
Accelerating the monthly and quarterly close process while improving the quality, accessibility, and reliability of financial information.
Added 4 hours ago
SM
RQ11705 – Solutions Designer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…standards, standard facilities infrastructure and architecture management, facility service delivery processes, infrastructure policies, procedures and direction, cost models, and…
Added 4 hours ago
SM
RQ11705 – Solutions Designer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…standards, standard facilities infrastructure and architecture management, facility service delivery processes, infrastructure policies, procedures and direction, cost models, and…
Added 4 hours ago
SM
RQ11705 – Solutions Designer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…standards, standard facilities infrastructure and architecture management, facility service delivery processes, infrastructure policies, procedures and direction, cost models, and…
Added 5 hours ago
B
Cyber Security Consultant
BuzzClan
Calgary, AB
- $80 to $85 CAD / hour
- Contract
We are seeking a security professional for the role of Cybersecurity Advisor who can provide holistic cybersecurity advisory services to the enterprise.
Added 5 hours ago
S
Customer Success Manager
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…functions as an extension of the customer’s workforce and a trusted advisor, providing guidance and advice to customer organizations. The CSM is responsible for identifying and addressing…
Added 6 hours ago
C
Senior Financial Analyst
Confidential
Toronto, ON · Etobicoke, ON
- $100,000 to $115,000 CAD / year
- Full-time
Contribute to budgeting, forecasting, and planning activities by gathering inputs, validating assumptions, and consolidating financial information.
Added 6 hours ago
Senior Cloud Technical Account Manager - Vancouver, CAN , AWS Enterprise Support
Amazon
Vancouver, BC
…role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500…
Added 6 hours ago
Sr. Cloud Technical Account Manager - Canada, FSI Canada
Amazon
Toronto, ON
…role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500…
Added 7 hours ago
PP
Outside Sales Engineer
Preston Phipps Inc
Mississauga, ON
- Full-time
…Canada. In this role, you’ll learn how to become a trusted advisor to contractors, consultants, and end users - helping them design, optimize, and maintain high‑performance mechanical…
Added 7 hours ago
SI
Field Compliance Officer
SAP IT Business Systeme
Montreal, QC
- $88,800 to $191,100 CAD / year
- Full-time
…every initiative. IT industry experience is a bonus. You're the advisor teams turn to when navigating gray…
Added 9 hours ago
RM
Manager, Human Resources
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Full-time
…relations expertise with operational HR leadership, program management, and continuous…
Added 10 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
Accelerating the monthly and quarterly close process while improving the quality, accessibility, and reliability of financial information.
Added 11 hours ago
CO
Planner II
City of Nanaimo
BC · British Columbia, Canada
- Full-time
Added 14 hours ago
CO
Business Advisor
City of Saint John
Saint John, NB
- Full-time
Identifying opportunities to improve workflows, automation and information management;
Added 15 hours ago
DB
Part Time Bridal Sales
David's Bridal
Edmonton, AB
- Part-time
…iPad tools to research and enthusiastically communicate this information to the…
Added 16 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
Accelerating the monthly and quarterly close process while improving the quality, accessibility, and reliability of financial information.
Added 16 hours ago
Category Lead
Rogers Communications
Brampton, ON
…procurement and business acumen will advance Procurement's trusted advisor status, optimize spend and value for money, drive best practices and provide future-focused strategies to achieve…
Added 17 hours ago
A
Mining and Industrial Water Treatment Engineer
AECOM
AB · Edmonton, AB
- $115,000 to $180,000 CAD / year
- Full-time
Provide technical leadership and serve as a technical advisor to project teams.
Added 17 hours ago
FH
RN Clinical Mentor - Medicine
Fraser Health Authority
Surrey, BC
- $49.2 to $67.08 CAD / hour
- Part-time
Act as a clinical mentor, resource, and advisor to nursing staff, providing expert guidance in nursing practice and clinical decision-making.
Added 17 hours ago
FH
RN Clinical Mentor - Medicine
Fraser Health Authority
Surrey, BC
- $49.2 to $67.08 CAD / hour
- Part-time
Act as a clinical mentor, resource, and advisor to nursing staff, providing expert guidance in nursing practice and clinical decision-making.
Added 17 hours ago
FH
Pharmacy Technician -Abbotsford Regional Hospital and Mission Memorial Hospital
Fraser Health Authority
Abbotsford, BC
- $36.26 CAD / hour
- Full-time
…where you work, and the people around you. From the financial advisor handling our health care resources, to the IT professional enabling life-saving data, to the nurse and physician on the…
Added 17 hours ago
FH
RN Clinical Mentor - Inpatient Medicine
Fraser Health Authority
Langley (District), BC · City of Langley, BC
- $49.2 to $67.08 CAD / hour
- Part-time
Act as a clinical mentor, advisor, and resource to nursing staff, supporting best practices in Inpatient Medicine nursing care.
Added 17 hours ago
FH
Pharmacy Technician - Vancouver General Hospital
Fraser Health Authority
Vancouver, BC
- $36.26 CAD / hour
- Full-time
…where you work, and the people around you. From the financial advisor handling our health care resources, to the IT professional enabling life-saving data, to the nurse and physician on the…

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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