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Added 5 mins 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 5 mins 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 5 mins ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
PCNSE (Palo Alto Networks Certified Network Security Engineer)
Added 5 mins ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 6 mins ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 6 mins ago
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
…the speed of light in extreme-scale data centers for the most advanced AI and HPC…
Added 21 mins ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
The Principal Engineer, Manufacturing Insights, is a high-impact leadership role responsible for driving McCain’s global digital manufacturing transformation. This role leads the strategy,…
Added 35 mins ago
A
Embedded Software Engineer
Actalent
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
The Embedded Software Engineer designs, develops, and maintains embedded computer system software for advanced military and naval applications, including control software for helicopter…
Added 35 mins ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
PCNSE (Palo Alto Networks Certified Network Security Engineer)
Added 35 mins ago
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Director of Engineering
Acara Solutions, An Aleron Company
Cambridge, ON
- Full-time
Nuclear • Pressure Equipment • Advanced Manufacturing
Added 35 mins ago
A
Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
We're looking for an experienced Embedded Software Engineering Manager to lead a team developing software for advanced medical devices. This is primarily a people leadership role with…
Added 35 mins ago
BC
Industrial Electrical Engineer - Mining and Metals
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
Advanced level of English to collaborate effectively with BBA offices and/or clients outside Québec. The frequency of English use may range from occasional to daily, depending on ongoing…
Added 35 mins ago
BC
Industrial Electrical Engineer - Mining and Metals
BBA Consultants
Montreal, QC
- Full-time
Advanced level of English to collaborate effectively with BBA offices and/or clients outside Québec. The frequency of English use may range from occasional to daily, depending on ongoing…
Added 35 mins ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 35 mins ago
L
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
- Full-time
…the speed of light in extreme-scale data centers for the most advanced AI and HPC…
Added 1 hour ago
HA
Systems Engineer II
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
…observation, scientific exploration, space domain awareness, and advanced communications missions. You will collaborate closely with optical, mechanical, electrical, software, and mission…
Added 1 hour ago
Infrastructure Engineer
HTS Engineering Ltd.
Toronto, ON
We are looking for an Infrastructure Engineer to join our specialized, tight-knit technical team. You will be responsible for implementing and supporting the server environments and…
Added 1 hour ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This…
Added 1 hour ago
B
R&D Engineer Mechanical
Broadcom
Ottawa, ON
- $76,300 to $122,000 CAD / year
- Full-time
As a Mechanical Design Engineer, you will design, develop, and deliver mechanical assemblies, including full chassis design for ultra-high-performance and power electronic products. We are…
Added 1 hour ago
B
Principal Hardware Engineer
Broadcom
Ottawa, ON
- $114,400 to $183,000 CAD / year
- Full-time
As a Principal Hardware Engineer, you will design, develop, and deliver Ultra High-performance electronic products. In addition, you may provide technical leadership to a small design team.…
Added 2 hours ago
R
Spécialiste Technique CFirst / CFirst Technical Specialist
RTX
Longueuil, QC
- Full-time
Added 2 hours ago
A
Project Engineering Coordinator
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Pickering, ON
- Full-time
Advanced skills using Microsoft Excel, Outlook, and Project.
Added 2 hours ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 2 hours ago
R
Lead Software Developer
RBC
Toronto, ON
- Full-time
Minimum 7 years of overall development experience in .NET technologies as a Software Engineer working within professional software engineering practices for the full software development…
Added 2 hours ago
Liaison Engineer
Westerkirk
Calgary, AB
The Liaison Engineer is responsible for dispositioning non-conformances, developing repairs and coordinating their implementation within the aircraft manufacturing 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.

Apply About employer

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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