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Added 56 mins ago
SD
Specialist, Patient Care
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
…connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact…
Added 56 mins ago
SH
Seasonal Sales Associate
Sunglass Hut
Markham, ON
- Full-time
A world leader in the specialty sunglass retail business with over 3,000 stores worldwide, we believe in the freedom of self-expression, inclusivity and authenticity, which is why we bring…
Added 56 mins ago
MR
Part-Time Sales Associate
Match Retail
Vancouver, BC
- Part-time
Match Retail is seeking enthusiastic and dynamic Sales Associates to represent a prestigious luxury brand, Nespresso. If you're passionate about high-end products and thrive in…
Added 1 hour ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and…
Added 1 hour ago
AC
Part Time Member Advisor
Affinity Credit Union
Rosthern, SK
- Part-time
…partner for our members, delivering exceptional service and expert financial…
Added 2 hours ago
SD
Merchandiser, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Surrey, BC
- Part-time
Expert in assigned areas of product inventory, product placement and expiry dates
Added 3 hours ago
B
Territory Account Executive, New Brunswick
Block
Moncton, NB
- Full-time
Establish yourself as the go-to Square expert in your city
Added 3 hours ago
SD
Specialist, Patient Care
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
…connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact…
Added 4 hours ago
Solution Consultant (California)
Logile, Inc.
Canada
…individuals with experience in workforce management, labor planning, retail operations, SaaS implementation, industrial engineering, or consulting who enjoy solving complex business…
Added 5 hours ago
WR
Account Executive
WOW Recruitment
Toronto, ON
- $80,000 to $90,000 CAD / year
- Full-time
Working with some of the world’s biggest automotive and retail brands, this business sits at the intersection of technology, marketing, and creative operations, helping enterprise clients…
Added 6 hours ago
MR
Part-Time Sales Associate
Match Retail
Cambridge, ON
- Part-time
Match Retail is seeking enthusiastic and dynamic Sales Associates to represent a prestigious luxury brand, Nespresso. If you're passionate about high-end products and thrive in…
Added 6 hours ago
S
Operations Lead - Full Time
sephora.com
Toronto, ON
- $22.2 to $26.1 CAD / hour
- Full-time
Develop budget strategies. Be seen as the expert by demonstrating a strong understanding of the stores sales performance and staffing and payroll as well as all other controllable expenses…
Added 6 hours ago
S
Beauty Advisor - Part Time
sephora.com
Peterborough, ON
- $19.2 to $22.6 CAD / hour
…for all things beauty. Through personalized consultations and expert product recommendations, you'll play a meaningful role in clients' confidence journeys. You're a beauty pioneer who…
Added 6 hours ago
SD
Merchandiser, Hourly Part Time Flexible Shifts
Shoppers Drug Mart
Vancouver, BC
- Part-time
Expert in assigned areas of product inventory, product placement and expiry dates
Added 6 hours ago
S
Beauty Advisor - Part Time
Sephora
Victoria, BC
- $19.85 to $24.8 CAD / hour
- Part-time
…for all things beauty. Through personalized consultations and expert product recommendations, you'll play a meaningful role in clients' confidence journeys. You're a beauty pioneer who…
Added 6 hours ago
MR
Part-Time Sales Associate
Match Retail
Toronto, ON · East York, ON
- Part-time
Match Retail is seeking enthusiastic and dynamic Sales Associates to represent a prestigious luxury brand, Nespresso. If you're passionate about high-end products and thrive in…
Added 6 hours ago
S-
Retail Seasonal Sales Associate
Showcase - Home of the Hottest Trends
Sydney Indian Reserve No. 28A, NS · Sydney, NS
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Seasonal Retail Associate P/T
Showcase - Home of the Hottest Trends
Victoria, BC
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Seasonal Retail Associate P/T
Showcase - Home of the Hottest Trends
Victoria, BC
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Retail Seasonal Sales Associate
Showcase - Home of the Hottest Trends
Ottawa, ON
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Seasonal Sales Associate (OPEN AVAILABILITY REQUIRED)
Showcase - Home of the Hottest Trends
Oshawa, ON
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Retail Associate P/T
Showcase - Home of the Hottest Trends
Surrey, BC
- Part-time
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
S-
Seasonal Sales Associate (OPEN AVAILABILITY REQUIRED)
Showcase - Home of the Hottest Trends
Toronto, ON
- Temporary
…demonstrating and selling the hottest trending products in retail. You will be asked to maximize the sales of the store by achieving and surpassing personal productivity goals while being a…
Added 6 hours ago
N
Analyst, Continuous Improvement
Nutrien
Saskatoon, SK
- Full-time
…operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure…
Added 6 hours ago
D
Developer, OpenText
Dollarama
Mont-Royal, QC
- Full-time
Acts as a technical expert for business, infrastructure, and development teams to ensure the stability, performance, and continuous improvement of the OpenText environment.

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Workplace: Remote
Apply by: Dec 20, 2026
Experience: 5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems, ideally within Ad Tech, MarTech, or high-scale recommendation systems.
Posting language: English
Posted: Sep 21, 2026

Original job description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Role Overview

We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML lifecycle - from processing massive volumes of data to developing and deploying low-latency models.

You must possess a strong hybrid skill set: deep expertise in applied machine learning combined with production-grade software engineering skills. You will not just build models in notebooks; you will write scalable, production-ready code, design real-time inference APIs, and ensure your systems meet strict latency and high-throughput requirements.

Key Responsibilities

Scale Data Engineering & Feature Pipelines

Process and extract features from massive, highly sparse datasets (terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark, Ray).
Architect offline and online feature pipelines. Manage real-time feature computation and low-latency feature stores ensuring zero online/offline skew.
Perform rigorous missingness analysis, leakage checks, and handle high-cardinality categorical variables safely.

Core ML & Deep Learning Development

Train, tune, and scale supervised learning models, utilizing advanced gradient boosting (XGBoost, LightGBM, CatBoost) and Factorization Machines.
Design and implement Deep Learning architectures for structured/recommendation data using PyTorch or TensorFlow.
Apply rigorous tabular modeling practices: meticulous leakage prevention, class imbalance strategies, and robust cross-validation on time-split data.

Productionization, MLOps, & System Engineering

Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Design and maintain robust MLOps pipelines: automated model retraining, versioning, shadow deployments, and CI/CD for machine learning.
Monitor production models for data drift, concept drift, and performance degradation in real-time, implementing automated alerting and fallback mechanisms.

Evaluation & Experimentation

Design rigorous A/B and multivariate tests to measure the true business incrementality of ML models.
Choose appropriate offline metrics (PR-AUC, normalized Entropy/LogLoss, Calibration, Lift) and bridge them to online business KPIs.

Success in This Role Looks Like

You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency).
Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring.
Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.

Required Qualifications

5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems, ideally within Ad Tech, MarTech, or high-scale recommendation systems.
Production Engineering Skills: Strong software engineering fundamentals (OOP, data structures, algorithm design). Expert-level Python and strong proficiency in a compiled or high-performance language (e.g., C++, Java, Scala, Go, or Rust).
ML Systems & Serving: Deep experience deploying machine learning models into highly concurrent, low-latency production environments (APIs, microservices, Triton Inference Server, custom containers).
Distributed Computing: Hands-on experience with big data processing (Apache Spark, Kafka, Flink) and complex SQL queries.
Core ML & Deep Learning: Proven track record of shipping both tree-based models and neural networks (PyTorch/TensorFlow) to production.
Statistics & Experimentation: Solid grasp of statistics, hypothesis testing, and rigorous A/B experiment design.

Nice-to-Have

Agentic / GenAI Development: Experience designing agentic workflows or utilizing LLMs to automate ad creative generation, campaign copilot tools, or internal ML development workflows (AI-assisted IDEs, code agents).

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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More about this job

Responsibilities

The Senior Machine Learning Engineer will architect, build, and deploy high-performance machine learning systems across the entire ML lifecycle. Responsibilities include scaling data engineering pipelines, developing deep learning models, and maintaining production-grade MLOps infrastructure.

Requirements

Candidates must have 5–8+ years of experience in machine learning systems with strong software engineering fundamentals in Python and a high-performance language. Proficiency in distributed computing, deep learning frameworks, and production-level model deployment is required.

Skills

Machine Learning
Python
SQL
PyTorch
TensorFlow
Apache Spark
Distributed Computing
MLOps
Data Engineering
Feature Pipelines
XGBoost
LightGBM
CatBoost
System Architecture
A/B Testing
Statistics

Remote locations

Toronto, Ontario, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Data Engineering
Python
SQL
Spark
Ray
PyTorch
TensorFlow
XGBoost
LightGBM
CatBoost
MLOps
CI/CD
ONNX
TensorRT
Kafka
Flink
Triton Inference Server
A/B Testing
Statistics
Feature Stores
Distributed Computing
Software Engineering
Ad Tech
MarTech
Recommendation Systems
Data Drift
Model Deployment
Object-Oriented Programming

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