Jobs in Canada

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Added 12 days ago
Software Developer, Apple Build Rules
Google
Waterloo, ON
Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to…
Added 12 days ago
AH
Instructor
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Part-time
…Demonstrated competence using Microsoft and teaching, presentation software (Word, Outlook, Visio, Power Point, Excel, Zoom, MS Teams,…
Added 12 days ago
AH
Speech Pathologist II
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Part-time
Current CPR (BLS - Health Care Provider Level C) certification required
Added 12 days ago
NR
Program Specialist
Niagara Region
ON · Niagara, ON
- Full-time
Knowledge of project management techniques/tools/software, as well as engagement and consultation principles and techniques
Added 12 days ago
PM
Project Manager
POD Marketing
Calgary, AB
- $57,000 to $65,000 CAD / year
- Full-time
Familiarity with project management software and tools
Added 12 days ago
O
Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
Demonstrated success leading Product Management organizations in enterprise software or cloud platforms.
Added 12 days ago
C
AI Architect
Coforge
Canada
- Contract
We are looking for an experienced AI Architect to design and build an enterprise-grade, AI-enhanced software engineering platform that improves developer productivity, code quality, and…
Added 12 days ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Experience building cloud landing zones, developer platforms, and reusable infrastructure services.
Added 12 days ago
AI
Clarity PPM Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Work Model: Hybrid – 2 days per week in-person at Toronto office preferred
Added 12 days ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
5+ years of software quality engineering experience, with approximately 3–5 years of hands-on REST API testing across the test lifecycle.
Added 12 days ago
LM
Cybersecurity Verification & Validation (V&V) Test Engineer
Lockheed Martin
Halifax, NS
- $91,250 to $119,750 CAD / year
- Full-time
Must have an aptitude for solving challenging problems in a team environment · Must have a high degree of initiative and autonomy
Added 12 days ago
JT
Business Process & System Specialist
J-Squared Technologies Inc.®
ON · Ontario, Canada
- Full-time
Familiarity with Git or other version-control tools, development/test/production environments, software release practices, or CI/CD concepts would be an asset.
Added 12 days ago
S
Nursing Unit Clerk, Heartwood Centre for Women - Vancouver, BC
Sanya’k̓ula
Vancouver, BC
- Part-time
Added 12 days ago
CC
Public Service Authority - Executive Director
Carroll County, Virginia
ON · Regional Municipality of York, ON
- Full-time
Ability to operate personal computers; possessing demonstrated skills and knowledge of Microsoft Office Suite, Outlook, SCADA and the ability to learn and utilize other software as required.
Added 12 days ago
S
Administrative Secretary, OBGYN Infrastructure - BC Women's Hospital & Health Centre
Sanya’k̓ula
Vancouver, BC
- Full-time
Process a variety of correspondence from written and dictated sources and uses software applications as required.
Added 12 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
You must possess a strong hybrid skill set: deep expertise in applied machine learning combined with production-grade software engineering skills
Added 12 days ago
RB
Financing Specialist
Royal Bank of Canada
Langley (District), BC · LANGLEY, British Columbia
- Full-time
Proficient in software tools including Synergy, Newton, and Excel, with experience in financial modeling
Added 12 days ago
RB
Senior Software Developer, Workday Integrations & Extend
Royal Bank of Canada
Toronto, ON
- Full-time
As a Senior Software Developer, Workday Integrations & Extend, you will lead the technical design, development, and implementation of Workday solutions to meet complex HCM program…
Added 12 days ago
RB
Assistant Branch Operations Manager
Royal Bank of Canada
Ottawa, ON
- Full-time
…which includes liaising with internal departments, providing software and process-related training, and managing the branch facilities and…
Added 12 days ago
JG
Marketing Business Development Manager
Jupiter Global Bio-Research Inc.
AB · Edmonton, AB
- Full-time
Proficiency with CRM platforms, marketing automation tools, and standard office productivity software.
Added 12 days ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
Added 12 days ago
AC
Part Time Member Advisor
Affinity Credit Union
Rosthern, SK
- Part-time
This position is guaranteed to work 5 days per week, with a typical schedule of 5.5 hours per day, offering a great work/life balance
Added 12 days ago
DW
Senior Mechanical Engineer (P.Eng.)
Design Works Engineering
Grande Prairie, AB
- Full-time
Proficiency in Revit and AutoCAD, and HAP or similar load software.
Added 12 days ago
DW
Senior Mechanical Engineer (P.Eng.)
Design Works Engineering
Calgary, AB
- Full-time
Proficiency in Revit and AutoCAD, and HAP or similar load software.
Added 12 days ago
DW
Intermediate Mechanical Engineer (P.Eng.)
Design Works Engineering
Grande Prairie, AB
- Full-time
Working proficiency in Revit and AutoCAD, and HAP or similar load software.

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply on fusemachines.applytojob.com About employer

Applications open in a new tab.

Job details

Job type: Contract
Workplace: Remote
Apply by: Dec 20, 2026
Remote eligibility: Canada listed. Check the posting for province restrictions.
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 on fusemachines.applytojob.com 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 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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Jobs in Canada