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Added 14 mins ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The AMD S3 Business Unit IP Systems Engineering team is seeking an energetic, dynamic, experienced IP Systems Engineer to join our growing team. We work with customers to develop new…
Added 28 mins ago
SG
Senior Automation Engineer
Socomec Group
Brampton, ON
- Full-time
Socomec is seeking a Senior Automation Engineer to join our Energy Storage Systems (ESS) R&D team. This role will focus on the development, integration, testing, and commissioning of…
Added 28 mins ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
Data Pipeline Validation: Validate ETL/ELT processes within AWS. Ensure data flows correctly from ingestion to storage, identifying data loss or transformation errors.
Added 28 mins ago
SG
Electrical Engineer
Socomec Group
Brampton, ON
- Full-time
…and standards-compliant solutions. This role supports both Engineer-to-Order (ETO) and Configure-to-Order (CTO) activities through electrical design development in E-Plan, technical…
Added 28 mins ago
H
Structural Section Manager
HDR
Toronto, ON
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 58 mins ago
HS
Quality Supervisor
HR Solutions
ON · Niagara, ON
- Full-time
 Certified Quality Engineer/Certified Quality Technician preferred, Certified Manager of
Added 2 hours ago
J
Civil Engineer - Design and Project Management
JobsMedia.io
Montreal, QC
- Full-time
Civil Engineer – Urban Infrastructure Project Design and Management
Added 2 hours ago
AM
Systems Design Engineer 2
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. Hands on technical role to drive both Out of Band and In Band System Management testing. These…
Added 3 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
As a Dynamics 365 CRM Solution Engineer, you will collaborate with Systems Integrator (SI) partners early in the sales cycle to scale technical engagements such as demonstrations,…
Added 3 hours ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
Define solution architecture, technical decisions, acceptance criteria, validation controls, monitoring, operational procedures, and production-support practices.
Added 4 hours ago
SC
Conventional Signalling Director
SYSTRA Canada
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 4 hours ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Senior QA Engineer with strong functional and automated API testing capabilities, coupled with expertise in data validation, ETL processes, and Master Data…
Added 4 hours ago
LM
Cybersecurity Verification & Validation (V&V) Test Engineer
Lockheed Martin
Halifax, NS
- $91,250 to $119,750 CAD / year
- Full-time
The Cybersecurity V&V Test Engineer will be responsible for the entire cybersecurity test program for the River Class Destroyer (RCD) program. This will include tasks such as establishing…
Added 5 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
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…
Added 5 hours ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
Job Title: QA Engineer- Salesforce Marketing Cloud (SFMC)
Added 6 hours ago
NS
Network & Infrastructure Integration Engineer
N2P Systems
Montreal, QC
- Full-time
We are seeking an experienced Network & Infrastructure Integration Engineer to support enterprise infrastructure integration, application onboarding, cloud connectivity, and migration…
Added 7 hours ago
RC
Senior SIS Engineer
Randstad Canada
Vancouver, BC
- $140,000 to $180,000 CAD / year
- Full-time
We are seeking an experienced Safety Instrumented System Engineer for a client of ours in the Vancouver area.
Added 7 hours ago
RH
Data Engineer
Robert Half
North Vancouver, BC
- $40 to $60 CAD / hour
- Contract
Our client is seeking a Senior Business Analyst / Data Engineer to support operational reporting, analytics, and business process improvements within a complex ERP environment. This is an…
Added 7 hours ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 8 hours ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 8 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 8 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Lead end-to-end innovation and engineering initiatives, from concept ideation and prototyping through proof-of-concept validation, product development, and commercialization.
Added 8 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 8 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 8 hours ago
V|
Ingénieur(e) de projets / Project Engineer
Veolia | North America
Montreal, QC
- Full-time
Mener des études de validation et identifier/résoudre les incohérences techniques

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 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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