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Added 8 days ago
P
Senior Revenue Operations Manager
Pepper
Canada
- Full-time
Build and ship end-to-end. Take AI agents, internal apps, and automations from prototype to production using Claude Code, Codex, Python, and SQL.
Added 8 days ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
We are looking for a Backend Engineer – Python (API & Platform Engineering) to join our engineering team in Toronto, Ontario. This is a hands-on backend engineering role focused on building…
Added 8 days ago
P
Sr. HRIS Analyst
PointClickCare
Mississauga, ON
- $84,000 to $105,000 CAD / year
- Full-time
This role provides senior-level HRIS support, solutions and coverage, ensuring continuity of day-to-day HR systems operations while supporting ongoing HR technology initiatives.
Added 8 days ago
SE
Embedded Software Engineer
Schneider Electric
Victoria, BC
- Full-time
…meet changing customer needs and market requirements. As a Senior Embedded Designer I, you'll develop new firmware features, enhance existing capabilities, and have opportunities to…
Added 8 days ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
Senior-level Python development across the full data and ML stack.
Added 8 days ago
Senior Product Development Engineering Specialist - Design Support & Sustaining
Trudell Medical Group
London, ON
SENIOR PRODUCT DEVELOPMENT ENGINEERING SPECIALIST – DESIGN SUPPORT & SUSTAINING
Added 8 days ago
C
Procurement Analyst (8 Month) - Winter 2027 Co-op
CIBC
Toronto, ON
- Full-time
…data analysis while working closely with procurement partners, senior leaders, and teams across our lines of business. You'll help identify opportunities to improve existing processes and…
Added 8 days ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility.
Added 8 days ago
Business Intelligence Analyst, Google Cloud Support
Google
Waterloo, ON
Experience in project management and presenting analyses to leadership or senior stakeholders.
Added 8 days ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
Added 8 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 8 days ago
E
Java Python Senior Software Developer
Elsevier
Montreal, QC
- Full-time
Working primarily in Java or Python to drive critical initiatives within Elsevier’s Research Data Platform (RDP)
Added 8 days ago
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Consultant, Services de conseil et d’analyse / Consultant, Consulting & Analytics Services
IQVIA
Mississauga, ON · Montreal, QC · Quebec, QC
- Full-time
Participer à des interactions clients (p. ex., appels, ateliers) pour clarifier les besoins, tester des hypothèses et expliquer les méthodes, avec soutien de l’équipe senior.
Added 8 days ago
Senior Data Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
Are you a Senior Data Platform Engineer professional focused on platform administration, operations and support, have strong Leadership and Communication skills who is looking for a…
Added 8 days ago
NB
QRM CHIEF DEVELOPER
National Bank of Canada
Toronto, ON
- Full-time
A career as a Chief Quantitative Risk Management (QRM) Developer in the IT Delivery and Capital Markets team at National Bank means acting as a specialist in supporting financial risk…
Added 8 days ago
NB
CHIEF DEVELOPER FULLSTACK - PYTHON
National Bank of Canada
Montreal, QC
- Full-time
A career as a Full Stack Developer on the Information Technology Delivery – Capital Markets team at National Bank means acting as a specialist in software development and cloud solutions.…
Added 8 days ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
A career as a Lead Python Chief Principal Developer in the Treasury IT team at National Bank means acting as a hands-on technical leader for modern technology platforms. This job allows you…
Added 8 days 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 8 days ago
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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 8 days ago
R
Associate Director – Commodity Local Market Risk
RBC
Toronto, ON
- Full-time
…changes and market conditions to deliver actionable insights for senior…
Added 8 days ago
RB
Network Operations Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Scripting and automation experience, ideally with Python
Added 8 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 8 days ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
Added 8 days ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 8 days 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…

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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