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Added 1 min ago
S
Integration and Test Developer
Syntronic
ON
- Temporary
…define the future - from creating state-of-the-art communication systems and autonomous vehicles to advancing IoT solutions that revolutionize everyday life. At Syntronic, your work will…
Added 1 min ago
Mechatronics - Control Systems Co-op Student (Winter 2027)
4AG Robotics
Salmon Arm, BC
As a member of the team, you will contribute to challenging automation and robotics problems as we continue to develop and commercialize large-scale robotic systems.
Added 1 min ago
FT
Systems Coordinator – Degree Audit - Appendix D/Temporary Assignment
Fanshawe Toronto@ILAC
London, ON
- Full-time
…and leadership relating to the Student Information System and systems supported processes within the Office of the Registrar. Develops and implements innovative service tools and…
Added 1 min ago
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Implementation Manager
Northwestel
Iqaluit, NU · Ottawa, ON
- Full-time
…capital projects relating to implementation of Northwestel systems, facilities and equipment based on user/service requirements driven from an understanding of business needs. The manager…
Added 16 mins ago
WM
310T Mechanic (Afternoon shift)
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Ottawa, ON · CARP, ON
- Full-time
Work with modern fleet technology, specialized equipment and evolving systems that keep your skills sharp.
Added 16 mins ago
Field Coordinator - Kiewit Foundations District
Kiewit
Calgary, AB · Burnaby, BC
…ensuring quality reporting and craftsmanship, and that all engineering work is completed professionally and ethically. Reporting to a Project Engineer or Project Manager, your main duties…
Added 16 mins ago
Process Team Leader - Automation, Backend, Test and SPCM
Excelitas Technologies
Vaudreuil-Dorion, QC
Bachelor's degree in engineering (automated manufacturing engineering, electrical engineering, or equivalent);
Added 16 mins ago
HM
Production Data Clerk
Heidelberg Materials
Calgary, AB
- Full-time
Enter, verify, and maintain production data in plant systems, ensuring accuracy and completeness
Added 16 mins ago
MC
Construction Site Representative (Transmission)
Maven Consulting Limited
Remote, Canada
- Contract
- Remote
At Maven, we build what communities depend on - power, water, gas, and other essential systems that keep communities connected and thriving. Our success is driven by our people: motivated…
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Senior Systems Integration Engineer
HDR
Toronto, ON
- Full-time
HDR is seeking a Senior Rail Systems Integration Engineer to join our Toronto office. Reporting to the Section Lead - Systems and Operations, you will be part of the larger North America…
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Senior Transportation Engineer
HDR
Calgary, AB
- Full-time
…HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to…
Added 16 mins ago
S
Geospatial Analyst
Stantec
Waterloo, ON
- Full-time
Technical training and experience in GIS mapping, geospatial analysis, and geographic principles (e.g., map projections and coordinate systems).
Added 16 mins ago
DI
Data Engineering Lead
Definity Insurance Company
Toronto, ON
- Full-time
Experience with ML-enabled data systems, cloud data platforms, CI/CD, and modern data engineering frameworks.
Added 31 mins ago
Manager Indigenous Relations
FortisAlberta
Calgary, AB
Added 31 mins ago
Junior Software Developer
KEV Group
Toronto, ON
You will join a small product engineering team building and maintaining the InTouch Pay web application. As a junior developer you will ship code to production early and often. You will…
Added 31 mins ago
HA
Systems Engineer II
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
Systems Engineering & Requirements Management
Added 31 mins ago
Application Technical Architect
Capgemini
Vancouver, BC
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies…
Added 31 mins ago
U
Maintenance Technician II - UniFirst Canada
UniFirst
Montreal, QC
- Full-time
…maintenance, installation and troubleshooting of industrial equipment, systems, and components. At UniFirst we have a standard Monday - Friday work week. We have an immediate opening and…
Added 31 mins ago
AP
Power Platform Developer
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- Full-time
Bachelor's degree in Business, Finance, Analytics, Information Systems, Computer Science, Supply Chain, Operations, Engineering, or a related field, or equivalent practical experience.
Added 31 mins ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 31 mins ago
TC
RF Engineer
Tridon Communications
AB · Calgary, AB · Edmonton, AB
- Full-time
Designs and constructs wireless systems by researching, analyzing, sectioning, and applying RF engineering techniques and criteria
Added 31 mins ago
A
Enterprise Account Executive
Airbyte
Remote, Canada
- $290,000 to $350,000 CAD / year
- Full-time
- Remote
…matter, reason over real-time context, and take action in the systems they read from, not just observe…
Added 31 mins ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
We are looking for a Junior AI-Accelerated Developer to help us dramatically increase engineering velocity by partnering closely with our COO and engineering team. This role is ideal for an…
Added 31 mins ago
Quality Assurance Specialist
Aspect Biosystems
Vancouver, BC
…drive continuous improvement of our manufacturing and quality systems by developing, applying, revising, and maintaining quality…
Added 31 mins ago
Lead Graphic Artist
2K
Montreal, QC
…to ensure graphic assets integrate seamlessly into gameplay systems while adhering to accessibility standards and localization requirements to deliver an intuitive user…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

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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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