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Added 25 mins ago
LA
Lead Solution Architect
Legislative Assembly of Ontario / Assemblée législative de l’Ontario
Toronto, ON
- Full-time
Looking for a rewarding career where you can share your expertise as a Lead Solution Architect? Seize this opportunity to embody our organizational values within our Information Services…
Added 27 mins ago
Solutions Architect, Professional Services
Bell
Quebec, QC
…future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every…
Added 27 mins ago
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
…our internal Process Design Kit (PDK). You will act as the architect of our component library, bridging the gap between photonics device design and system-level verification. You will…
Added 42 mins ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Position Title: Principal Engineer, Digital Manufacturing
Added 42 mins ago
O
Conseiller(ère) SAP HCM
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 42 mins ago
O
Developer Senior Java / C++
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 42 mins ago
W
Conseiller(ère) SAP HCM
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 42 mins ago
W
Developer Senior Java / C++
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 42 mins ago
Senior Customer Success Manager (Transformation Advisor), Independent Software Vendor (ISV)
Amazon
Toronto, ON
- Cloud Technology Certification, or AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
Added 56 mins ago
JW
Senior Software Engineer, Web3 Backend
Jobs Web3
Toronto, ON
- Full-time
As a Senior Software Engineer, you’ll architect, build, and scale the backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet…
Added 56 mins ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
Position Title: Data Architect & Analytics Team Lead
Added 56 mins ago
L
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
- Full-time
…our internal Process Design Kit (PDK). You will act as the architect of our component library, bridging the gap between photonics device design and system-level verification. You will…
Added 56 mins ago
OD
Salesforce Lead
OSI Digital
Vancouver, BC
- Full-time
Salesforce certifications such as Application Architect, System Architect certifications are highly desirable.
Added 57 mins ago
Senior Business Analyst
World Vision Canada
Mississauga, ON
Principle Advisor, Enterprise Digital Strategy
Added 1 hour ago
Application Technical Architect
Capgemini
Vancouver, BC
…potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all…
Added 1 hour ago
OD
Salesforce Lead
OSI Digital
Vancouver, BC
- $40,000 to $130,000 CAD / year
- Full-time
Salesforce certifications such as Application Architect, System Architect certifications are highly desirable.
Added 2 hours ago
Senior Solutions Architect
Scotiabank
Toronto, ON
The Senior Solutions Architect will work with the Group Treasury business and technology partners to define and evolve the architecture supporting Treasury systems.
Added 2 hours ago
G
Principal AI Solutions Architect, Customer Success
Genesys
AB · Toronto, ON · ON · Quebec, QC
- Full-time
…effective customer experiences. As a Principal AI Solutions Architect, you will own the technical architecture and end-to-end delivery of sophisticated customer solutions spanning…
Added 2 hours ago
O
Analyste d'affaires intermédiaire, volet IA
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 2 hours ago
W
Analyste d'affaires intermédiaire, volet IA
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 2 hours ago
TO
Landscape Architect
Town of Whitby
Whitby, ON · Iroquois Park Sports Centre
- Full-time
Reporting to and under the direction of the Supervisor of Parks Development, the Landscape Architect is responsible for:
Added 2 hours ago
TO
Landscape Architect
Town of Whitby
Whitby, ON
- Full-time
Reporting to and under the direction of the Supervisor of Parks Development, the Landscape Architect is responsible for:
Added 2 hours ago
R
Principal Enterprise Architect
RBC
Toronto, ON
- Full-time
The Principal Enterprise Architect (EA) is responsible for developing enterprise vision and target state architecture for CNB and the assigned business domains within the bank aligned to…
Added 3 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…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…
Added 3 hours ago
S
Architecte Logiciel Embarqué / Embedded Software Architect
Syntronic
Montreal, QC
- Full-time
As a senior embedded software architect, your main responsibilities will include the documentation, architecture and implementation of complex software in different technology market areas…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

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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 pipelines, developing deep learning models, and ensuring production-grade performance through robust MLOps practices.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with deep expertise in Python and distributed computing frameworks. A strong background in deploying low-latency models and a solid understanding of statistics and experimental design are required.

Skills

Machine Learning
Python
SQL
Spark
PyTorch
TensorFlow
XGBoost
Distributed Computing
MLOps
Data Engineering
Software Engineering
System Architecture
Statistics
A/B Testing
CI/CD
Deep Learning

Remote locations

Toronto, 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
XGBoost
LightGBM
CatBoost
PyTorch
TensorFlow
ONNX
TensorRT
MLOps
CI/CD
Kafka
Flink
Triton Inference Server
Microservices
Ad Tech
MarTech
Recommendation Systems
Feature Stores
A/B Testing
Statistics
Distributed Computing
Software Engineering
Object-Oriented Programming
GenAI

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