Jobs in Canada

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Added 16 days ago
YC
Senior Developer, D365
Yoush Consulting
Toronto, ON
- Full-time
As a Senior Developer, Dynamics 365 your responsibilities will include:
Added 16 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 16 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 16 days ago
O
Sr. Software Developer
OpenText
Richmond Hill, ON
- Full-time
The Senior Software Developer is a hands-on technical contributor and emerging technical lead who designs, develops, and supports Java and Spring Boot microservices running on Google Cloud…
Added 16 days ago
G
Sr. JavaScript Developer
Galent
Toronto, ON
- Contract
We are seeking a skilled Senior JavaScript Developer (6+ years) with strong experience in Node.js and server-side JavaScript development to build and maintain data processing solutions.
Added 16 days ago
B
Développeur.euse Java Senior
Bounteous
Montreal, QC
- Full-time
Il s'agit d'un rôle hybride basé à Montréal, avec 3 jours au bureau
Added 16 days ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 16 days ago
O
Senior Software Developer (Bilingual)
OpenText
Ottawa, ON
- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…
Added 16 days ago
W
Software Engineer - C++ / Python / Android / Java L1
Wipro
Ottawa, ON
- Full-time
…to one or more of the following technologies: C++, Python, Java, and Android…
Added 16 days ago
S
Programmer Analyst II – Client Service Delivery System
SereneAid
Fredericton, NB
- Full-time
Working Schedule: 5 days per week, 7.25 hours per day
Added 16 days ago
TC
Technical Business Analyst
Tata Consultancy Services
Montreal, QC
- Full-time
Should have prior experience in Java development, microservices. API understanding
Added 16 days ago
AI
Bilingual English & Spanish Java Backend Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 2-3 days in office a week
Added 16 days ago
IC
Software Engineer in Test
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Architect scalable, Java-based test automation frameworks across UI, APIs, microservices, and data pipelines.
Added 16 days ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 CAD / year
- Full-time
he Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 16 days ago
SG
Prime Services Risk Advisor
Societe Generale
Montreal, QC
- Full-time
Automate various tasks and reporting as requested by management, senior members of the team or partners.
Added 16 days ago
YC
Senior Test/QA Consultants
Yoush Consulting
Toronto, ON
- Full-time
Experience with automated testing tools (Selenium, Java)
Added 16 days ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
The Senior Software Engineer is a technical leader and subject matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful…
Added 16 days ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
Work under the guidance of senior engineers while contributing value to team meetings, brainstorming sessions, and retrospectives.
Added 16 days ago
D
Senior Frontend Developer
Dexian
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are seeking an experienced Senior Frontend Developer with strong expertise in React and modern JavaScript to build high-performance, scalable web applications. The ideal candidate will…
Added 16 days ago
O
Manager, Software Development
OpenText
Richmond Hill, ON
- Full-time
…software engineers and technical specialists working across Java-based cloud services, Python-based AI and document intelligence, React user experiences, enterprise integrations, and…
Added 16 days ago
R
Senior Software Developer, Workday Integrations & Extend
RBC
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 16 days ago
C
Full Stack Senior Engineering Lead - Inventory Orchestration
Citi
Mississauga, ON
- Full-time
A Full Stack Senior Engineering Lead - Inventory Orchestration is a senior-level position responsible for leading the solutioning, design, and implementation of microservice-based…
Added 16 days ago
PS
Senior Software Developer - Big data API
PDF Solutions
Vancouver, BC
- Full-time
Team Leader, Senior Developer, Project Management, and junior mentorship experience
Added 16 days ago
C
Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
En tant qu’Ingénieur(e) principal(e) en solutions (Senior Solutions Engineer), vous agirez à titre de leader technique principal dans le cadre de nos mandats clients les plus stratégiques…
Added 16 days ago
TG
Analyst, Market Insights Intern
TMX Group
Toronto, ON
- $25 to $29 CAD / hour
- Full-time
Must Have(s):

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

Seniority

Senior

Tools

Apache Spark
Kafka
Flink
Ray
Triton Inference Server
ONNX
TensorRT
PyTorch
TensorFlow

Languages

English

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Work requirements

Jobs in Canada