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Added 9 mins ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 9 mins ago
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
Contract
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 38 mins ago
Junior QA Automation Engineer
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Toronto, ON · North York, ON
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Experience or working knowledge of JavaScript, TypeScript, Python, or Java for test automation purposes.
Added 39 mins ago
Technology - Brokerage Engineering - Principal Software Engineer
Questrade Financial Group
Toronto, ON
Backend Expertise: Deep expertise in C# .NET (or expert-level knowledge in another modern backend language like Java, Go, Python, or Node.js with a willingness to work in .NET). C++ nice to…
Added 2 hours ago
Lead Full Stack Developer
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Senior Software Engineer
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Added 10 hours ago
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$90,000 to $110,000 CAD / year
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Added 12 hours ago
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$438.81 CAD / day
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Added 13 hours ago
Software Engineering LMTS
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Full-time
Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
Added 14 hours ago
Sr. Site Reliability Administrator
Open Text Corporation
Mississauga, ON
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Added 14 hours ago
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RBC
Toronto, ON
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Added 15 hours ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 15 hours ago
Application Developer- Java, python,Spring Boot, Microservice
Smart IT Frame LLC
Toronto, ON
Contract
It will be good if candidate has experience in both Java and Python.
Added 15 hours ago
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
Full-time
Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
Added 15 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
…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…
Added 15 hours ago
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
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Highly skilled in at least one of the languages like Java, Python, .NET framework (C#) and React (Typescript),.
Added 15 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
Added 17 hours ago
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 17 hours ago
WiSE Winter 2027 Co-op: Business and Technology Consultant (Undergraduate Co-op)
CGI
Halifax, NS
Full-time
Software Development (Java, Python, and other modern languages)
Added 17 hours ago
Winter 2027 Co-op: Technical Development Consultant (Master's Co-op)
CGI
Halifax, NS
Full-time
…areas, including Quality Engineering, Artificial Intelligence, Java Development, Data Analytics, Process Automation, Cyber Security, and Cloud…
Added 17 hours ago
Winter 2027 Co-op: Business and Technology Consultant (Undergraduate Co-op)
CGI
Halifax, NS
Full-time
Software Development (Java, Python, and other modern languages)
Added 17 hours ago
Test Engineer
Pacer Group
Montreal, QC
$45 to $48 CAD / hour
Contract
Strong scripting skills using Python and Bash for automation and test execution.
Added 18 hours ago
Senior Engineering Manager
Citi
Mississauga, ON
Full-time
…foundation in modern programming languages and frameworks (e.g., Java/Spring Boot, Python, React/Angular), microservices architecture, and event streaming…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

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

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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 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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