Jobs in Canada

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Added 1 month ago
RI
Senior Full Stack Java Developer - React, Spring Boot & MongoDB
Rose International
Mississauga, ON
- Full-time
Must Have Skills/Attributes: Banking/Financial, CSS, HTML, Java, MongoDB, React, Spring Boot
Added 1 month ago
RI
Senior Java Full Stack Developer - Angular | Spring Boot | Microservices
Rose International
Mississauga, ON
- Full-time
Must Have Skills/Attributes: Angular, Banking/Financial, Java, Microservices, Spring Boot
Added 1 month ago
Staff Software Developer, Client Stack, Front End and Web Development, Google Cloud
Google
Waterloo, ON
5 years of experience with full stack development, across back-end such as Java,, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Added 1 month ago
H
Python Full Stack Engineer - Professional
HEXAWARE
Canada
- Full-time
Java and Python We are seeking a skilled Backend Developer with 5 to 8 years of experience in designing, developing, and maintaining scalable backend applications. The ideal candidate will…
Added 1 month ago
H
Java Full Stack Engineer - Professional
HEXAWARE
Canada
- Full-time
Java FSD + UI • 5-8 years of relevant experience in Apps Development roles • Proven full-stack development expertise with hands-on experience in Java, Angular/React, and REST APIs. •…
Added 1 month ago
C
Senior Java Full Stack Developer
CGI
Toronto, ON
- Full-time
This role is hybrid and requires you to work from our Markham office a minimum of 2 to 3 days per week, subject to change at any time
Added 1 month ago
Senior Full Stack Engineer
Scotiabank
Toronto, ON
5+ years of full-stack development experience with modern frameworks and architectures.
Added 1 month ago
S
Senior Technical Support Engineer
Sentry
Remote, Canada
- $125,000 to $150,000 CAD / year
- Full-time
- Remote
You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
Added 1 month ago
C
Full Stack Java Developer Tech Lead- Vice President
Citi
Mississauga, ON
- Full-time
The Full Stack Java Developer Tech Lead- Vice President is a senior level position responsible for establishing and implementing new or revised application systems and programs in…
Added 1 month ago
O
Staff Software Engineer
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
Strong proficiency in one or more of: Java, Kotlin, Go, or equivalent JVM/cloud-native languages used in Okta's backend stack
Added 1 month ago
Staff Software Engineer
Okta
Toronto, ON
Strong proficiency in one or more of: Java, Kotlin, Go, or equivalent JVM/cloud-native languages used in Okta's backend stack
Added 1 month ago
C
Full Stack Java/Angular Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The Full Stack Java/Angular Developer - AVP is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and…
Added 1 month ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
…build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the…
Added 1 month ago
FM
Full Stack Developer - FNV Diagnostics Cloud
Ford Motor Company
Waterloo, ON
- $105,000 to $155,000 CAD / year
- Full-time
Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
Added 1 month ago
T
Sr. Full Stack Engineer, TD Securities
TD
Toronto, ON
- Full-time
The Asset Liquidity and Funding Analytics Technology team at TD Securities is seeking an experienced Full-stack Engineer to build the next generation of a risk computation platform. The…
Added 1 month ago
ST
Java Full Stack Developer
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
NOW HIRING JAVA FULL STACK DEVELOPER (JAVA + REACT)
Added 1 month ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- $173,000 to $197,400 CAD / year
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 1 month ago
NB
Senior Lead Developer Back-End
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Lead Developer Back-End in the Data Destruction Governance Platform IT Delivery team at National Bank means acting as a full-stack developer and putting your technical…
Added 1 month ago
D
Java Consultant
Delpath
Toronto, ON · Scarborough, ON
- Contract
Candidate Requirements/Must Have Skills:
Added 1 month ago
C
Senior Automation Developer (Java)
Citi
Mississauga, ON
- Full-time
Operating within a high-velocity Agile Scrum environment, you will collaborate closely as full-stack automation application developers and with product owners to implement shift-left…
Added 1 month ago
C
AVP Full Stack Java/Angular Developer
Citi
Mississauga, ON
- Full-time
The Applications Development Manager is an intermediate management level position responsible for providing full leadership and direction to a team of employees in an effort to establish…
Added 1 month ago
RB
Lead Platform Developer (AEM)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Platform Developer will perform various tasks to deliver IT solutions that exceed customer expectations in content, usability, accuracy, reliability and performance. This person is…
Added 1 month ago
R
Lead Platform Developer (AEM)
RBC
Toronto, ON
- Full-time
The Lead Platform Developer will perform various tasks to deliver IT solutions that exceed customer expectations in content, usability, accuracy, reliability and performance. This person is…
Added 1 month ago
R
JavaScript Full Stack Developer
Rebel
Ottawa, ON
- $60,000 to $100,000 CAD / year
- Full-time
Position Title: JavaScript Full Stack Developer Intermediate
Added 1 month 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

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply on 20191108174918_t3hdem7ncayec2db.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 20191108174918_t3hdem7ncayec2db.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 pipelines, developing deep learning models, and maintaining production-grade MLOps infrastructure.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with strong proficiency in Python and distributed computing frameworks. A deep understanding of production-grade ML systems, including model serving and real-time inference, is required.

Skills

Machine Learning
Python
SQL
PyTorch
TensorFlow
Apache Spark
Distributed Computing
MLOps
Data Engineering
Software Engineering
XGBoost
LightGBM
CatBoost
CI/CD
System Architecture
Statistics

Remote locations

Toronto, Canada
Nepal
United States
Dominican Republic

Remote locations (standardized)

Dominican Republic
Nepal
Toronto, Ontario, Canada
United States

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
Kafka
Flink
Triton Inference Server
ONNX
TensorRT
Distributed Computing
Feature Stores
A/B Testing
Ad Tech
MarTech
Recommendation Systems
Software Engineering
Data Drift
Object-Oriented Programming
Factorization Machines
Cloud Computing

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Jobs in Canada