Jobs in Canada

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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
Added 1 month ago
MI
Marketing Technologist - AI & Automation
Morison Insurance Brokers Inc.
Hamilton, ON
- Full-time
…tools like Claude Code to solve problems that used to take a developer or a manual process. If you love building things, are fluent in modern AI tooling, and want the freedom to prototype…
Added 1 month ago
PG
Java/python developer
Pacer Group
Toronto, ON
- Full-time
Design, develop, test, deploy, and maintain secure, scalable microservices, backend applications, and RESTful APIs using Java, Spring Boot, and Python.
Added 1 month ago
EA
Senior Software Engineer - Agentic Workflows
Electronic Arts (EA)
Vancouver, BC
- Full-time
You will design extensible interfaces that allow rapid iteration on new technologies while maintaining architectural integrity and developer usability.
Added 1 month ago
AI
QA Engineer – Performance & Automation Testing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Minimum of 3+ years of experience in system testing and test automation.
Added 1 month ago
G
Python Fullstack Developer
Genpact
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
Inviting applications for the role of Principal Consultant, Python Engineer
Added 1 month ago
A
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
Bachelor’s degree in computer science/information systems/engineering/related field 8+ years of experience in software engineering with at least 6+ years in data/ml engineering
Added 1 month ago
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Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 1 month ago
TR
Senior Manager, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
At least 8 years of experience in product analytics, data science, or a related discipline, with at least 3 years leading teams that include data engineers or other technical roles.
Added 1 month ago
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Murex DevOps
Luxoft
Toronto, ON
- $72,000 to $120,000 CAD / year
- Full-time
Added 1 month ago
TT
Senior Data Analyst
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
8+ years of experience in SAS and Python development.
Added 1 month ago
Sr. Solutions Architect | Architecte de solutions senior, Agentic WorkSpaces Canada
Amazon
Toronto, ON · Montreal, QC
Added 1 month ago
UR
Staff AI Solutions Deployment Developer, Applied AI
Urban Ridge Supplies
Waterloo, ON
- Full-time
3 years of experience writing code in one or more programming languages (e.g., Python, Java).
Added 1 month ago
UR
Forward Deployed Engineering, US Oncology
Urban Ridge Supplies
Mississauga, ON
- Full-time
Degree or equivalent experience and typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise…
Added 1 month ago
UR
AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Added 1 month ago
UR
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
- Full-time
7+ years of software engineering experience with at least 3+ years focused on AI/ML solutions.
Added 1 month ago
UR
Principal Developer Support Engineer - Builder Experience
Urban Ridge Supplies
Toronto, ON
- $140,000 to $192,500 CAD / year
- Full-time
Experience: 8+ years in technical support, developer relations, solutions engineering, or software development with significant customer- or partner-facing experience.
Added 1 month ago
UR
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Experience: 3+ years building ML or data-heavy systems in production
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
Degree or equivalent experience and typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise…
Added 1 month ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Building substantial production-grade code, including Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
Added 1 month ago
UR
AI Engineer
Urban Ridge Supplies
Kitchener, ON
- Full-time
4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Added 1 month ago
UR
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
UR
AI Solutions Engineer, Agentic Automation
Urban Ridge Supplies
Toronto, ON
- Full-time
Approximately 8-12+ years of senior-level experience across automation, solution delivery, or related business-technology roles such as automation development, solutions engineering,…
Added 1 month ago
UR
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
Added 1 month ago
UR
Senior Software Engineer (Conductor)
Urban Ridge Supplies
Toronto, ON
- Full-time
…That means working across the full stack: backend services in Python and TypeScript, integrations against real healthcare provider environments (HL7 v2, FHIR, DICOM, RIS/PACS, EMR webhooks,…

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