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Added 8 mins ago
M
Sr. Software Developer
McKesson
Mississauga, ON
- Full-time
● Design, develop, and maintain scalable full-stack applications using Java, Python, React, REST APIs, API-first architecture, MongoDB, and PostgreSQL.
Added 22 mins ago
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Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…systems across all technologies and platforms. The Consultant, Full Stack Developer provides technical leadership to development, is responsible for technical design and development of…
Added 1 hour ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 hour ago
T
Business Systems Analyst
TEKsystems
Toronto, ON
- $75 to $80 CAD / hour
- Contract
…Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à…
Added 1 hour ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…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…
Added 1 hour ago
Senior Backend Product Developer, SCM Tech Fulfillment
HelloFresh
Toronto, ON
…turning complex logic into clean, reliable systems, and enough full-stack fluency to support and enhance our internal…
Added 1 hour ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
Review other developers’ work and help them grow their Claude and full-stack skills.
Added 1 hour ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
Review other developers’ work and help them grow their Claude and full-stack skills.
Added 1 hour ago
VC
Senior Developer
Valsoft Corporation
Remote, Canada
- $120,000 to $135,000 CAD / year
- Remote
7+ years of professional software development experience, including significant ownership of production full-stack applications.
Added 2 hours ago
Director, Customer Engagement Platforms
Questrade Financial Group
Toronto, ON
Owning the end to end technology strategy and multiyear roadmap for the customer engagement stack (AI Service Agent, Telephony and CRM, currently Decagon, Genesys Cloud and Salesforce),…
Added 2 hours ago
FG
Senior Mobile Developer
Flynn Group of Companies
Mississauga, ON
- Full-time
Flynn Group of Companies, North America’s leading building envelope contractor, is looking for a Senior Mobile Developer to work from our Mississauga location reporting to Manager, Custom…
Added 2 hours ago
FG
QA Automation Tester
Flynn Group of Companies
Mississauga, ON
- Full-time
…users. Be recognized for your skills and participate in the full software development lifecycle. Work with modern technologies and testing frameworks while helping ensure our applications…
Added 2 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
…work will translate business needs into scalable, resilient full-stack solutions that meet both functional and non-functional…
Added 2 hours ago
IC
Java Application Developer
Infotek Consulting Inc.
Toronto, ON
- $80 to $88 CAD / hour
- Contract
We are looking for an experienced Senior Java Full Stack Developer to join a collaborative technology team supporting a variety of engineering projects and day-to-day application…
Added 2 hours ago
FG
Senior Mobile Developer
Flynn Group of Companies
Mississauga, ON
- $120,000 to $135,000 CAD / year
- Full-time
Flynn Group of Companies, North America’s leading building envelope contractor, is looking for a Senior Mobile Developer to work from our Mississauga location reporting to Manager, Custom…
Added 2 hours ago
FG
QA Automation Tester
Flynn Group of Companies
Mississauga, ON
- $72,000 to $82,000 CAD / year
- Full-time
…users. Be recognized for your skills and participate in the full software development lifecycle. Work with modern technologies and testing frameworks while helping ensure our applications…
Added 3 hours ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
We are looking for an Architect-Level Java Full Stack Developer to join the Finance & Securitization (FNS) Team. The team is part of a Front Office business environment, working closely…
Added 3 hours ago
Y
Senior Full Stack Developer (React)
Yochana
Montreal, QC
- Full-time
We're looking for a Senior Full Stack Developer to join our engineering team, building and maintaining mission critical software across the full stack. You'll work on both frontend and…
Added 3 hours ago
E
Full Stack Engineer, SE3
eBay
Toronto, ON
- Full-time
We are seeking a Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to design,…
Added 3 hours ago
WT
Marketing Automation Developer (18-month contract)
Wealthsimple Technologies
Remote, Canada
- $116,000 to $145,000 CAD / year
- Full-time
- Remote
We're looking for a Marketing Developer to join our Growth & Lifecycle Marketing team. This is a 18-month fixed term contract position. This is a highly technical role that sits at the…
Added 4 hours ago
TC
Oracle Database Administrator
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
TC
Salesforce Revenue Cloud Architect
Tata Consultancy Services
ON · Ontario, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
E
Senior Full-Stack Application Developer (Kotlin-Java/React)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
Role: The Senior Full-Stack Application Developer (Kotlin-Java/React), reports to the Director, Product Development, you will be working with a team of 13 members that include developers,…
Added 4 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
FS
Senior Angular Developer
Futran Solutions
Montreal, QC
- Contract
Strong full-stack development experience with:

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.

Apply About employer

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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