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Added 13 mins ago
M
Technical Marketing & Partnerships Specialist
MistyWest
Vancouver, BC
- $75,000 to $95,000 CAD / year
- Full-time
This role can grow into Senior Marketing & Partnerships Manager. That means owning sponsorships and broader marketing strategy, leading SDRs and other lead-gen resources, and eventually…
Added 13 mins ago
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Coordinator, Training, Mine Operations
Glencore
Sparwood, BC
- $108,000 to $128,000 CAD / year
- Full-time
Reporting to the Senior Lead, Training & Development Mine Operations, the Coordinator, Training, Mine Operations is responsible for coordinating, developing, and delivering training…
Added 13 mins ago
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Senior Manager, R&D Capabilities and Excellence
Gay Lea Foods
Hamilton, ON
- Contract
The Senior Manager, R&D Capabilities and Excellence plays a pivotal role in shaping how the R&D organization operates, grows, and delivers results. This role strengthens foundational…
Added 13 mins ago
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Senior Accountant- EN
IAMGOLD Corporation
Toronto, ON
- Full-time
IAMGOLD is seeking a detail-oriented and collaborative Senior Accountant to support our corporate accounting and financial reporting activities based in our Toronto office. Reporting to the…
Added 13 mins ago
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Senior Associate - Family Law
Anthony Family Law
Vaughan, ON
- Full-time
Added 14 mins ago
Data Privacy and Ethics Lead
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Stellarton, NS · Mississauga, ON
Added 14 mins ago
Animal Flow Coordinator
The British Columbia Society for the Prevention of Cruelty to Animals (BC SPCA)
Vancouver, BC
Reporting to the Senior Manager, Animal Triage & Flow, the Animal Flow Coordinator (AFC) works collaboratively with all relevant stakeholders to coordinate and consult on issues as they…
Added 14 mins ago
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Indigenous Independent Living Coordinator
Barrie Area Native Advisory Circle
Midland, ON
- Full-time
- Temporary
BANAC offers many innovative programs and services including Aging Well Senior Supports, Bebminot Family Wellness, the Biinoojinsauk Child Care Centre, Maapii Enjii Zaagi Gaazwad and the…
Added 14 mins ago
SL
Senior Risk Business Analyst
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Senior Risk Business Analyst will make a meaningful contribution to Sun Life’s Corporate Risk Operations team by combining business analysis expertise and business-facing support for…
Added 14 mins ago
SL
Senior Best Practice Consultant, Process & Enablement
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
The Senior Best Practice Consultant, Process & Enablement is responsible for leading and maturing process management and operational knowledge practices for Global People Services. The role…
Added 29 mins ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Title of position: Senior Forward Deployed Engineer
Added 29 mins ago
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Field Data Coordinator
Semex
Guelph, ON
- Full-time
…qualifications, ranging from an early-career opportunity to a more senior role. Reporting arrangements will be confirmed based on organizational needs and the successful candidate’s…
Added 29 mins ago
Senior Solutions Architect
Scotiabank
Toronto, ON
The Senior Solutions Architect will work with the Group Treasury business and technology partners to define and evolve the architecture supporting Treasury systems.
Added 29 mins ago
Manager, Loyalty & Partnership Infrastructure
Scotiabank
Toronto, ON
…production support, monitoring platform stability, reporting to senior management, addressing audit issues, promoting a customer-focused culture, and building strong stakeholder…
Added 29 mins ago
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Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…all technologies and platforms. The Consultant, Full Stack Developer provides technical leadership to development, is responsible for technical design and development of applications using…
Added 29 mins ago
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Senior Manager, Expatriate Tax Services
BDO
Montreal, QC
- Full-time
BDO Canada is looking for a Senior Manager to join the Expatriate Tax Services team in Montreal, where the successful candidate will own the following responsibilities:
Added 29 mins ago
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Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
26WD100499, Senior Machine Learning Operations Developer: AI/ML Platform
Added 44 mins ago
Senior Manager, Deal Technology: M&A IT (Calgary)
EY
AB · Calgary, AB
Competitive business today is all about making intelligent, informed decisions. As a Deal Technology Senior Manager within EY-Parthenon you will help make that happen. You will be an…
Added 59 mins ago
TA
Decision Science Specialist
Transat AT
Montreal, QC
- Full-time
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical…
Added 59 mins ago
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District Chef - O&B
Oliver & Bonacini
Toronto, ON
- $100,000 to $125,000 CAD / year
- Full-time
…food quality, creativity, consistency, and execution. As the senior culinary leader, this role oversees and supports the Chef de Cuisine and culinary leadership team, driving the overall…
Added 59 mins ago
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District Chef - Braven, Kindred, Lobby Bar
Oliver & Bonacini
Edmonton, AB
- Full-time
…food quality, creativity, consistency, and execution. As the senior culinary leader, this role oversees and supports the Chef de Cuisine and culinary leadership team, driving the overall…
Added 59 mins ago
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Learning & AI Enablement Associate (6-Month Contract)
ChangeMakers
Toronto, ON
- Full-time
Facilitate workshops and present project updates to senior leaders and stakeholders
Added 59 mins ago
TO
Landscape Architect
Town of Whitby
Whitby, ON · Iroquois Park Sports Centre
- Full-time
preparing various reports for Senior Leadership;
Added 59 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
Developer experience: APIs, SDKs, command-line tools, documentation, and useful examples.
Added 59 mins ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC

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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