Jobs in Canada

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Added 10 days ago
C
Procurement Analyst (8 Month) - Winter 2027 Co-op
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 10 days ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
This is a backend-heavy engineering role focused on high-volume trade simulation and data integrity.
Added 10 days ago
C
System Integrator (Renewable)
CIMA+
London, ON · Guelph, Ontario
- $67,440 to $92,730 CAD / year
- Full-time
Eramosa, a CIMA+ Company, is a vibrant, growing consulting engineering firm with offices in Guelph, Calgary, Toronto, and London dedicated to developing long-lasting relationships with our…
Added 10 days ago
C
System Integrator (Renewable)
CIMA+
Guelph, ON
- $67,440 to $92,730 CAD / year
- Full-time
Eramosa, a CIMA+ Company, is a vibrant, growing consulting engineering firm with offices in Guelph, Calgary, Toronto, and London dedicated to developing long-lasting relationships with our…
Added 10 days ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
Added 10 days ago
W
Data Engineer
Wiraa
Canada
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This pivotal role bridges the gap between raw data and actionable business…
Added 10 days ago
C
System Integrator (Renewable)
CIMA+
Guelph, ON
- $67,440 to $92,730 CAD / year
- Full-time
Eramosa, a CIMA+ Company, is a vibrant, growing consulting engineering firm with offices in Guelph, Calgary, Toronto, and London dedicated to developing long-lasting relationships with our…
Added 10 days ago
C
System Integrator (Renewable)
CIMA+
London, ON
- $67,440 to $92,730 CAD / year
- Full-time
Eramosa, a CIMA+ Company, is a vibrant, growing consulting engineering firm with offices in Guelph, Calgary, Toronto, and London dedicated to developing long-lasting relationships with our…
Added 10 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…teaching and research laboratories supporting the Mechanical Engineering and Biomedical Engineering programs, as well as the Department's research-based and professional graduate programs,…
Added 10 days ago
Senior Data Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
This role follows a hybrid work model, with an in-office presence required three days per week
Added 10 days ago
Electronic Equipment Design Assurance (EEDA) Engineering Specialist
Westerkirk
Calgary, AB · Victoria, BC · Mississauga, ON
…and process assessments of electronic systems certification data constituting of both software and airborne electronic hardware to ensure compliance with airworthiness regulatory…
Added 11 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 11 days ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 11 days ago
NB
CHIEF DEVELOPER FULLSTACK - PYTHON
National Bank of Canada
Montreal, QC
- Full-time
A career as a Full Stack Developer on the Information Technology Delivery – Capital Markets team at National Bank means acting as a specialist in software development and cloud solutions.…
Added 11 days ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
A career as a Lead Python Chief Principal Developer in the Treasury IT team at National Bank means acting as a hands-on technical leader for modern technology platforms. This job allows you…
Added 11 days ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 11 days ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
…automated API testing capabilities, coupled with expertise in data validation, ETL processes, and Master Data Management (MDM). The role will own test design and execution, develop…
Added 11 days ago
JT
Business Process & System Specialist
J-Squared Technologies Inc.®
ON · Ontario, Canada
- Full-time
Experience using Python, JavaScript, or another scripting language to transform data, automate workflows, connect systems, or build lightweight tools or applications.
Added 11 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 11 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Resiliency and chaos engineering – designing multi-region, multi-cloud disaster recovery strategies to ensure 99.9999% availability
Added 11 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Resiliency and chaos engineering – designing multi-region, multi-cloud disaster recovery strategies to ensure 99.9999% availability
Added 11 days ago
JG
Application Release Engineer
J&M Group
Toronto, ON
- Contract
Resiliency and chaos engineering designing multi-region, multi-cloud disaster recovery strategies to ensure 99.9999% availability
Added 11 days ago
G
Application Release Engineer
Galent
Toronto, ON
- Contract
Resiliency and Chaos Engineering: Design multi-region, multi-cloud disaster recovery strategies to ensure 99.9999% availability.
Added 11 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 11 days ago
ID
AI Deployment Strategist
Intellect Design Arena Ltd
Toronto, ON
- $140,000 to $160,000 CAD / year
- Full-time
Work with Engineering and Data teams to integrate enterprise data, applications, APIs, and knowledge sources into AI solutions.

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