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Added 46 mins ago
P&
Ingenieur(e) de projets / Project Engineer
Pratt & Whitney
Longueuil, QC
- Full-time
Mener la vérification, validation et certification des changements d’ingénierie au sein des IPT;
Added 46 mins ago
SC
Spécialiste Conformité Electronique & Tests (Senior)
SII Canada
Montreal, QC
- Full-time
…des équipements de test utilisés dans le développement, la validation et la production de produits de…
Added 47 mins ago
O
DCS Control Systems Engineer
OxyChem
Thorold, ON
- Full-time
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Added 47 mins ago
TT
Design Verification Engineer
Terranova Talent Solutions
Vancouver, BC
- Contract
We are seeking a Design Verification Engineer to join our team. You will
Added 47 mins ago
A
IAM Engineer with Python Developer Experience // Montreal, QC(Hybrid)//FTE
AceStack
Montreal, QC
- Full-time
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Added 1 hour ago
LI
Mechanical Engineer
LabsCubed Inc
Kitchener, ON
- Full-time
Join LabsCubed: Shape the Future of Materials Testing as a Intermediate Mechanical Engineer!
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Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Develop and maintain test automation for chatbot validation where possible.
Added 1 hour ago
A
Junior Human Factors Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Development of Human Factor Verification and Validation plans per CNSC REGDOC 2.5.1.
Added 1 hour ago
CP
Process Engineering lll
Contract Pharmaceuticals
Mississauga, ON
- $95,000 to $110,000 CAD / year
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Added 1 hour ago
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Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
Reporting to the Technical Director, the Technical Engineer is responsible for independently reviewing, validating, and approving technical outputs to ensure accuracy, manufacturability,…
Added 1 hour ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 1 hour ago
AT
Process Engineer (medical device)
APTYX Trenton
Trenton, ON
- Full-time
To support its growth strategy, Aptyx Trenton is seeking to fill the role of a Process Engineer at our Trenton location. We are looking for an industry experienced individual who will hit…
Added 1 hour ago
FR
Hardware Design Engineer - Agricultural Robots
Finite Robotics
Kitchener, ON
- Full-time
…production grade for the 2027 fleet. This role (the Hardware Design Engineer) is an important role help make that…
Added 1 hour ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
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Added 1 hour ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 1 hour ago
Senior Platform Engineer
Scotiabank
Toronto, ON
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Added 1 hour ago
Methods Engineer
Sapsol Technologies Inc
Montreal, QC
Added 1 hour ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 2 hours ago
V
Data Center Solutions Architect - Sales Engineer
Vantage
Montreal, QC
- Full-time
Oversee testing and validation of solutions to ensure they meet performance, security, and reliability standards.
Added 2 hours ago
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SAS Consultant
TechDoQuest
Markham, ON
- Full-time
…migration teams through discovery, assessment, conversion, validation, and cutover…
Added 2 hours ago
JG
SAS Tech Lead
J&M Group
Markham, ON
- Contract
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Added 2 hours ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job TitleQuality Engineer (QE) / SDET – AI Chatbot ValidationKey Roles & Responsibilities• Validate chatbot responses for accuracy, relevance, completeness, and consistency.• Create and…
Added 2 hours ago
A
Test/Lab Engineer
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
Our client in the automotive industry, is looking to hire a Test/Lab Engineer.
Added 2 hours ago
C-
Senior Electrical Designer
CRWS - Canadian Railway Services
Montreal, QC
- Full-time
As Senior Electrical Designer, you will work with the Lead Electrical Engineer to design, develop, review, and support electrical and automation systems used in rolling stock applications.
Added 2 hours ago
JS
Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
Reporting to the Technical Director, the Technical Engineer is responsible for independently reviewing, validating, and approving technical outputs to ensure accuracy, manufacturability,…

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 pipelines, developing deep learning models, and ensuring production-grade performance through robust MLOps practices.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with deep expertise in Python and distributed computing frameworks. A strong background in deploying low-latency models and a solid understanding of statistics and experimental design are required.

Skills

Machine Learning
Python
SQL
Spark
PyTorch
TensorFlow
XGBoost
Distributed Computing
MLOps
Data Engineering
Software Engineering
System Architecture
Statistics
A/B Testing
CI/CD
Deep Learning

Remote locations

Toronto, 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
XGBoost
LightGBM
CatBoost
PyTorch
TensorFlow
ONNX
TensorRT
MLOps
CI/CD
Kafka
Flink
Triton Inference Server
Microservices
Ad Tech
MarTech
Recommendation Systems
Feature Stores
A/B Testing
Statistics
Distributed Computing
Software Engineering
Object-Oriented Programming
GenAI

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