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Added 2 mins ago
P
Senior Product Manager, Digital Assets Squad
Purpose
Toronto, ON
- Full-time
Purpose Unlimited is looking for a Senior Product Manager to bring dedicated, full-time leadership to the Digital Assets Squad - owning the roadmap, the figures of merit, and the ship date…
Added 2 mins ago
P
Senior Product Manager, Fund Management
Purpose
Toronto, ON
- Full-time
Added 2 mins ago
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Senior QA Automation Engineer (Playwright)
Yochana
Montreal, QC
- Full-time
We're looking for a Senior QA Automation Engineer to design, build, and maintain automated test frameworks that ensure the quality and reliability of our software. You'll work closely with…
Added 3 mins ago
GM
Senior Software Developer - Virtualization and SIL Integration
General Motors
Markham, ON
- Full-time
…of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL…
Added 28 mins ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 33 mins ago
Sr Mechanical Engineer
North American Rail Solutions
Calgary, AB
Our team is looking for a full-time Senior Mechanical Engineer who is driven to deliver their best work every day and are committed to working collaboratively to achieve shared goals. If…
Added 1 hour ago
A
Canada Renewable Energy Engineering Leader
Arup
Toronto, ON
- Full-time
While broad capability across renewable technologies is essential, strong experience delivering owner’s engineer and/or detailed design for renewable energy projects is a core requirement,…
Added 1 hour ago
SI
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
- Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 1 hour ago
KE
Project Engineer / Project Manager
Keystone Environmental
Burnaby, BC
- $100,000 to $130,000 CAD / year
- Full-time
As our company continues to grow, we are looking for an experienced Project Engineer / Project Manager to join our Engineering Department in Burnaby, BC.
Added 1 hour ago
SC
Spécialiste Conformité Electronique & Tests (Senior)
SII Canada
Montreal, QC
- Full-time
The successful candidate works closely with engineering, quality, manufacturing, health and safety, and supplier teams to ensure that all applicable requirements are met throughout the…
Added 1 hour ago
P&
Stage - Hiver 2027 - Développement Logiciel Avancé, Méthodes Numériques / Internship - Winter 2027 - Advanced Software Development, Numerical Methods
Pratt & Whitney
Longueuil, QC
- Full-time
Added 1 hour ago
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Senior Programme Manager- Electrification
Accenture Construct
Toronto, ON
- Full-time
The role provides senior programme leadership from design and procurement through construction, testing, commissioning and handover, ensuring delivery against safety, programme, cost,…
Added 1 hour ago
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Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
Spellbook is seeking a generalist Platform and Infrastructure Engineer to join our team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB,…
Added 1 hour ago
PF
Full Stack Engineer
PEOPLE FORCE CONSULTING INC
Quebec, QC
- Contract
People Force is looking for a Senior Full Stack Developer – Angular for a 1 year contract role with one of our client. This position is a hybrid position with onsite presence at our…
Added 1 hour ago
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Mechanical Design Technologist
CIMA+
Edmonton, AB
- $63,520 to $87,340 CAD / year
- Full-time
CIMA+'s Buildings team is renowned for its expertise in designing high-quality buildings. We are committed to providing the most cost-effective solutions to engineering challenges and offer…
Added 1 hour ago
C
Mechanical Design Technologist
CIMA+
AB · Edmonton, AB
- $63,520 to $87,340 CAD / year
- Full-time
CIMA+'s Buildings team is renowned for its expertise in designing high-quality buildings. We are committed to providing the most cost-effective solutions to engineering challenges and offer…
Added 1 hour ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 1 hour ago
MI
Project Engineer II
Mondelēz International
Hamilton, ON · Plant - Hamilton, Canada
- Full-time
…world-class manufacturing and productivity with the highest levels of quality, safety and environmental requirements. You will follow Mondelēz business and innovation processes in project…
Added 2 hours ago
ZC
Automation Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for an Entry-Level Automation Engineer to join our technology team. This is an exciting opportunity for an early-career technology professional who is…
Added 2 hours ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 2 hours ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 2 hours ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 2 hours ago
E
iOS Engineer - SE3
eBay
Toronto, ON
- Full-time
As an iOS Software Engineer on the Native Focused Category team, you'll contribute to building and improving features within eBay's core iOS application. You'll work primarily with Swift…
Added 2 hours ago
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Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
The Principal Engineer, Manufacturing Insights, is a high-impact leadership role responsible for driving McCain’s global digital manufacturing transformation. This role leads the strategy,…
Added 2 hours ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
…better future. Our mission begins with delivering the highest quality care through continuous improvement, while partnering to create a more seamless health…

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 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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