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Added 25 mins ago
HO
Full-Stack Developer (Digital Product Developer)
House of Commons (Canada) / Chambre des communes (Canada)
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff several Full-Stack Developer (Digital Product Developer) positions.
Added 25 mins ago
HO
Senior Full-Stack Developer (Senior Digital Product Developer)
House of Commons (Canada) / Chambre des communes (Canada)
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff the Senior Full-Stack Developer (Senior Digital Product Developer) position.
Added 40 mins ago
HO
Senior Full-Stack Developer (Senior Digital Product Developer)
House of Commons of Canada Chambre des communes du Canada
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff the Senior Full-Stack Developer (Senior Digital Product Developer) position.
Added 1 hour ago
HO
Full-Stack Developer (Digital Product Developer)
House of Commons of Canada Chambre des communes du Canada
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff several Full-Stack Developer (Digital Product Developer) positions.
Added 1 hour ago
A
Tech Lead and JAVA Developer
Alithya
QC · QC, Canada
- Full-time
Concevoir, développer et faire évoluer des solutions Java Full-Stack modernes;
Added 2 hours ago
YC
Senior Developer, D365
Yoush Consulting
Toronto, ON
- Full-time
As a Senior Developer, Dynamics 365 your responsibilities will include:
Added 4 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…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…
Added 7 hours ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Develop backend services, frontend interfaces, or full-stack applications depending on project requirements.
Added 7 hours ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Develop and document full-stack test strategies, design test cases, and conduct manual and automated testing across platforms and technology layers, including UI, API, database, Android,…
Added 9 hours ago
T
Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Develop and document full-stack test strategies, design test cases, and conduct manual and automated testing across platforms and technology layers, including UI, API, database, Android,…
Added 10 hours ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 10 hours ago
RT
Java Full Stack Microservice Developer
Reveille Technologies,Inc
Vancouver, BC
- Full-time
 8-10 years of hands-on experience in Java/J2EE software development with proven
Added 12 hours ago
TC
Java Backend developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 12 hours ago
TC
Technical Business Analyst
Tata Consultancy Services
Montreal, QC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 12 hours ago
TC
Big Data Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 12 hours ago
T
Senior Full Stack Developer – FHIR, Java, Node.js, AWS & Healthcare Integration
ThoughtStorm
Toronto, ON
- Contract
Hiring: Senior Full Stack Developer – FHIR & Healthcare Integration
Added 12 hours ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planning, design, development to deployment.
Added 12 hours ago
D
Software Engineer
Dexian
Toronto, ON
- Contract
…modernization initiative, developing and enhancing backend or full-stack applications in a collaborative Agile environment. This role is ideal for a Java Developer with strong software…
Added 12 hours ago
OP
Associate Software Engineer - Full Stack
Ontario Power Generation
Oshawa, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Associate Software Engineer - Full Stack.
Added 12 hours ago
MI
FHIR Integration Engineer/Full Stack Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience developing Java and Node.js services, REST APIs, FHIR integrations, event publishers and consumers, and production application logic.
Added 12 hours ago
B
Sr. Java Fullstack Developer-Angular/Banking
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Software Developer 3 - Java to join a collaborative Agile delivery pod supporting a large-scale platform modernization…
Added 12 hours ago
DI
Full Stack Developer(Angular)
Dawn InfoTek
Toronto, ON
- Contract
We’re looking for Full Stack Developer to join our team and work on modern, scalable applications across both frontend and backend technologies. If you’re passionate about building…
Added 12 hours ago
W
Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
1-3 years of transferable software development experience (full stack and/or mobile development) in a corporate environment, including internship and co-op experience
Added 12 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Kitchener, ON
- $160,000 to $220,000 CAD / year
- Full-time
Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment,…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Workplace: Remote
Apply by: Dec 20, 2026
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.

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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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