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Added 4 mins ago
R
Spécialiste Technique CFirst / CFirst Technical Specialist
RTX
Longueuil, QC
- Full-time
Added 4 mins ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC
- Full-time
Power Your Future with Qualus in our T&D Canada business as a Lead Engineer - Mechanical. Reporting to the Director of Engineering, this position is located in our Vancouver, BC office. If…
Added 4 mins ago
Geotechnical Field Engineer/Inspector (Construction Support)
Mott MacDonald
Toronto, ON
We are looking for a talented, motivated, and experienced Geotechnical Field Engineer/Inspector (Construction Support) to support an iconic construction project in GTAA. In this position,…
Added 4 mins ago
Senior Geotechnical Engineer / Lead Inspector
Mott MacDonald
Toronto, ON
We are excited to be looking for a talented, motivated, and experienced Senior Geotechnical Field Engineer/Inspector (Construction Support) to support an iconic construction project in…
Added 19 mins ago
RT
Structural Engineer
Rio Tinto
Labrador City, NL
- Full-time
We are looking for a Senior Structural Engineer to provide technical leadership and support operations and sustaining engineering project delivery across Iron Ore Company of Canada…
Added 19 mins ago
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Project Engineer (Water & Wastewater)
Veolia Environnement SA
Oakville, ON
- Full-time
The Project Engineer (PE) role is responsible for working with the Purification & Disinfection (P&D) and ZeeWeed ITR teams in executing custom project designs, meeting customer…
Added 19 mins ago
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Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
…FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running…
Added 19 mins ago
HC
Research Engineer
Human Computer Lab
Remote, Canada
- Full-time
- Remote
Added 19 mins ago
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Senior Software Engineer, Device & Data Platform
Mecka
Richmond Hill, ON
- $180,000 to $210,000 CAD / year
- Full-time
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and…
Added 19 mins ago
Software Development Engineer II, Umbrella Training
Amazon
Toronto, ON
The Umbrella Training team is looking for a Software Development Engineer to join our mission-critical platform that powers training for Amazon's global fulfillment network. This unique…
Added 19 mins ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
Design and build tools that pull together evidence for a customer flow across multiple services and return a structured verdict quickly
Added 19 mins ago
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Project engineer, Rolling stock vehicules
AtkinsRéalis
Montreal, QC
- Full-time
A Project Engineer is responsible for providing technical and contractual oversight pertaining to the end‑to‑end delivery of rolling stock vehicles. Projects could consider heavy rail,…
Added 19 mins ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 33 mins ago
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Electrical Engineer / System Integrator
Canal
North Vancouver, BC
- Full-time
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Added 33 mins ago
MR
Senior Solutions Engineer
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Vancouver, BC · Greater Vancouver, BC
- $115,000 to $140,000 CAD / year
- Full-time
We're helping them add a Senior Solutions Engineer to the team that sits between their bank partners, their product organization, and their delivery teams.
Added 33 mins ago
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Civil Engineer (Structural/ Geotechnical)
Cenlo Engineering Inc.
Sault Ste. Marie, ON
- Full-time
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Added 33 mins ago
HP
Director of Engineering
HCR Permanent Search
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $160,000 to $180,000 CAD / year
- Full-time
…are searching for a senior engineering leader responsible for design, quality, and code compliance for their nuclear manufacturing…
Added 33 mins ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Senior OCS (Overhead Catenary System) Engineer to work on our HMLRT project. As the successful candidate your ideas for…
Added 33 mins ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Power Your Future with Qualus in our T&D Canada business as a Lead Engineer - Mechanical. Reporting to the Director of Engineering, this position is located in our Vancouver, BC office. If…
Added 33 mins ago
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Junior Civil Engineer – Water Resources & Hydrology
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Vancouver, BC
- Full-time
We are seeking a motivated Junior Civil Engineer with a focus on Hydrology and Water Resources Engineering to join our growing team.
Added 33 mins ago
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Senior Verification Engineer - Security
Arm
Toronto, ON
- Full-time
As a creative problem solving Security and Embedded Processor Verification Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will…
Added 34 mins ago
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Lead Software Developer
RBC
Toronto, ON
- Full-time
…stakeholders including end clients. You will be leading the technical design and development of cross-functional, multi-platform trading application systems and apply extensive, in-depth…
Added 34 mins ago
Senior Software Engineer, Web3 Backend
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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 34 mins ago
Liaison Engineer
Westerkirk
Calgary, AB
…comprehensive aerospace company with capabilities that span design, production, maintenance, repair, and overhaul (MRO) services. Our operations are supported by a team of skilled…
Added 34 mins ago
Principal Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Principal Software Engineer. Could It Be You?

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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