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Added 1 min ago
Architecte de solutions PLM/PLM Solution Architect
Capgemini
Montreal, QC
Added 13 mins ago
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
Contract
Myticas Consulting is seeking an experienced Solutions Architect for a long-term consulting engagement supporting a major digital transformation program within the financial services…
Added 13 mins ago
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
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Senior Enterprise Information / Data Architect
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SAP Solution Architect – Integrated Toolchain (35774)
Myticas Consulting
Toronto, ON
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Myticas Consulting is seeking a senior SAP Solution Architect for an approved transformation project with a leading global systems integrator for our Toronto clinet. This is a HYBRID…
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Product & Pricing Architect (35728)
Myticas Consulting
Toronto, ON
Full-time
We are seeking an experienced Product & Pricing Architect to provide senior functional and solution leadership for the implementation of SaaS-based banking product and pricing solutions.
Added 13 mins ago
Finance Architect – Oracle Financials Cloud
Querentia
Canada
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We are seeking an experienced Finance Architect with 12+ years of Oracle Financials Cloud experience to lead finance solution architecture, global implementations, enterprise finance…
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SOLUTION ARCHITECT TECHNICAL ARCHITECT (35734)
Myticas Consulting
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We are seeking a senior Solution Architect / Technical Architect with strong experience delivering complex enterprise SaaS solutions within Banking, Financial Services, or FinTech…
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Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
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Data Analyst – Power BI Microsoft Fabric (35903)
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Ottawa, ON
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Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 45 mins ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
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As a senior technical leader, you will collaborate with architecture, analytics, and business teams to define long-term data strategy, establish engineering best practices, and support…
Added 45 mins ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
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Expert-level Senior Integration Developer with Intelligent Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and…
Added 45 mins ago
Senior Database Administrator - Information Technology Services
MacEwan University
AB · Edmonton, AB
Full-time
Reporting to the Team, Lead, IT Data and Analytics, the Senior Database Administrator is a technical subject matter expert responsible for leading activities related to enterprise database…
Added 45 mins ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
Architect Secure, Reliable, And Observable Systems
Added 46 mins ago
Senior AI Engineer
Scotiabank
Toronto, ON
Architect Secure, Reliable, and Observable Systems:
Added 1 hour ago
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 1 hour ago
Principal Engineer (AI, Office of the CEO)
Jobber
Remote, Canada
Full-time · Remote
This is a startup inside Jobber. A small, senior team in the Office of the CEO with a mandate to reinvent how a 1,000-person company operates in the AI era, and the backing to actually do…
Added 1 hour ago
AWS Architect/ Tech Lead
Deloitte
Toronto, ON
Full-time
We are seeking an experienced AWS Data Architect Lead to lead the architecture and delivery of complex, enterprise-scale data modernisation and migration programmes on AWS.
Added 1 hour ago
Senior Salesforce CRM Solution Architect
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a Senior Salesforce CRM Implementation Lead / Solution Architect to assess and transform our existing Salesforce environment and lead future-state CRM initiatives. This…
Added 1 hour ago
Senior Integration Developer
York University
Toronto, ON
Full-time
University Degree in a relevant field such as Computer Science, Engineering, IT, Data Science, Applied Mathematics, Management Information System or an equivalent of four (4) years of…
Added 1 hour ago
Senior Automation Developer (Java)
Citi
Mississauga, ON
Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 2 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Architect and implement solutions utilizing Azure services including Virtual Machines, AKS, Azure Networking, Azure Storage, Azure Active Directory, and Azure Policy.
Added 2 hours ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 3 hours ago
Shopify Practice Director
Jobgether
Canada
$130,000 to $185,000 USD / year
Full-time
Serve as the senior technical authority on feasibility, scalability, integration strategy, and architecture for Shopify Plus engagements.
Added 3 hours ago
206422 - Solution Architect
Orion Innovation
Montreal, QC
Full-time
Role: Senior Systems Architect (Cloud & Event-Driven Systems) - Hybrid
Added 3 hours ago
Senior Customer Engineer, Named - Toronto Canada
Cloudflare
Toronto, ON
…go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value - guiding enterprise…

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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