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Added 13 mins ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
We are looking for highly technical, insatiably curious, and adaptable engineers who enjoy understanding how systems are designed, deployed, and operated. Success in this role requires…
Added 26 mins ago
AF
Financial Planning and Analysis Manager
Armstrong Fluid Technology
Toronto, ON · Scarborough, ON
- $110,000 to $130,000 CAD / year
- Part-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 26 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 57 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 57 mins ago
SR
Senior Design Engineer
Strategy Recruitment Group
Newmarket, ON
- Full-time
We are partnering with a leading international manufacturer looking to hire a Senior Design Engineer with deep technical expertise in chassis and suspension systems, product development,…
Added 58 mins ago
Electrical Engineer in Training (EIT)
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…design for transportation and building projects. Working with advanced digital tools and multidisciplinary teams, you'll help deliver safe, efficient, coordinated, and innovative electrical…
Added 58 mins ago
Software Engineer Intern (Summer 2027 - 8-Months - Sports Technology - Undergraduate)
Electronic Arts
Vancouver, BC
Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with…
Added 58 mins ago
Manufacturing Technician - Test Operator
INNIO
Welland, ON
…Welland Ontario Canada, reporting to the Lead Production Test Engineer. In this role, you will lead the operation and troubleshooting of highly complex engine and generator test bench…
Added 58 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 1 hour ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 1 hour ago
H
Lead Mechanical Engineer
Hydrostor
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
As a Lead Mechanical Engineer at Hydrostor, you will serve as a technical authority for stationary mechanical equipment across our long‑duration energy storage facilities. This role…
Added 1 hour ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
As a Senior Data Engineer, you will lead the design and implementation of complex data architectures that drive critical business decisions across the organization. You'll architect…
Added 1 hour ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Advanced troubleshooting, debugging, and performance optimization for distributed systems.
Added 1 hour ago
L
IT Desktop Engineer - Co-Op/Intern
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
At Lumentum, we’re building the tech behind the world’s fastest networks and most advanced systems. Our optical and photonic solutions power everything from AI and cloud computing to data…
Added 2 hours ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
The Role: We’re looking for a Senior Software Engineer who is deeply hands‑on, highly technical, and exceptional at building production systems end‑to‑end to join an engineering team whose…
Added 2 hours ago
L
QA Engineer
Luxoft
Toronto, ON
- Contract
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Added 2 hours ago
W
Principal Process Automation & Controls Engineer
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Calgary, AB
- Full-time
This position requires advanced hands-on Emerson DeltaV configuration experience. The successful candidate must be capable of independently configuring, modifying, troubleshooting, and…
Added 2 hours ago
E
Senior Structural Engineer
EXP
Barrie, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
Added 2 hours ago
E
Senior Structural Engineer
EXP
Sudbury, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
Added 2 hours ago
E
Senior Structural Engineer
EXP
Temiskaming Shores, ON · New Liskeard, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
Added 3 hours ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 3 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 3 hours ago
W
Senior Process Automation & Controls Engineer
Worley
Calgary, AB
- Full-time
Support and maintain plant control systems, DCS platforms, Safety Instrumented Systems (SIS), HMI/SCADA applications, and associated industrial networks.
Added 3 hours ago
W
Senior Process Automation & Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
Support and maintain plant control systems, DCS platforms, Safety Instrumented Systems (SIS), HMI/SCADA applications, and associated industrial networks.
Added 3 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.

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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