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Added 1 hour ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 2 hours ago
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 5 hours ago
Growth Engineer
NationGraph
Toronto, ON
$100,000 to $140,000 CAD / year
Full-time
We’re looking for a Growth Engineer to own the technical systems behind acquisition, experimentation, analytics, and go-to-market automation at NationGraph.
Added 7 hours ago
Technical Lead, Innovation
Croesus
Laval, QC
Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…
Added 7 hours ago
Technical Lead, Innovation
Croesus
Montreal, QC
Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…
Added 7 hours ago
Sales Engineer
Cirrascale Cloud Services
Canada
As a Sales Engineer, you will serve as a customer-facing technical sales resource, partnering with Account Executives, Solutions Architects, and customers to support technical discovery,…
Added 9 hours ago
Gen AI Engineer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
We’re looking for a Mid-Level Gen AI Engineer to build and scale intelligent, production-ready AI solutions. You’ll work with LLMs, RAG, prompt engineering, and AI agents to solve…
Added 9 hours ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
Added 10 hours ago
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 10 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 11 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 11 hours ago
Cloud Engineer
VySystems
Canada
Full-time
Added 11 hours ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
Certifications in cloud or AI/ML platforms (e.g., Microsoft Azure AI Engineer Associate, Azure Data Scientist Associate, Databricks) considered an asset.
Added 11 hours ago
Machine Learning Engineer
Sobeys
Toronto, ON
Full-time
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 11 hours ago
Architecte de solution IA
CGI
Montreal, QC
Full-time
AI/ML certification on a cloud platform (e.g.: Azure AI Engineer, AWS ML Specialty, GCP Professional ML Engineer).
Added 11 hours ago
Data Engineer
Zurich Canada
Toronto, ON
Full-time
Zurich Canada is looking for a Data Engineer to build, operate and support data pipelines and analytics-ready datasets that power reporting, advanced analytics and AI-enabled solutions…
Added 12 hours ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
Added 12 hours ago
Java Developer (React)
Collabera
Toronto, ON
$90 to $102 CAD / hour
Contract
The Senior Full Stack Engineer will join a Capital Markets engineering team responsible for modernizing and rebuilding a mission-critical platform used across Public Markets. This is…
Added 12 hours ago
Machine Learning Engineer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 12 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Added 13 hours ago
AI Business Analyst
Kelly
Toronto, ON
$50 to $66 CAD / hour
Contract
You do not need to be a data scientist or machine learning engineer; however, you should have enough technical fluency to understand how data and AI solutions are developed, validated, and…
Added 13 hours ago
Quality Engineer
TEEMA
Vancouver, BC
Full-time
We are looking for a QA Engineer with strong test automation experience who is excited about using AI technologies to improve software quality and testing processes.
Added 13 hours ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
Added 13 hours ago
Senior Technical Architect II
Bell
Toronto, ON
Master's degree in a relevant engineering discipline or an active Professional Engineer (P.Eng.) designation.
Added 14 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

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

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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 maintaining production-grade MLOps infrastructure.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with strong proficiency in Python and distributed computing frameworks. A deep understanding of production-grade ML systems, including model serving and real-time inference, is required.

Skills

Machine Learning
Python
SQL
PyTorch
TensorFlow
Apache Spark
Distributed Computing
MLOps
Data Engineering
Software Engineering
XGBoost
LightGBM
CatBoost
CI/CD
System Architecture
Statistics

Remote locations

Toronto, Canada
Nepal
United States
Dominican Republic

Remote locations (standardized)

Dominican Republic
Nepal
Toronto, Ontario, Canada
United States

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
Kafka
Flink
Triton Inference Server
ONNX
TensorRT
Distributed Computing
Feature Stores
A/B Testing
Ad Tech
MarTech
Recommendation Systems
Software Engineering
Data Drift
Object-Oriented Programming
Factorization Machines
Cloud Computing

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