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Added 12 mins ago
SC
Conventional Signalling Director
SYSTRA Canada
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 42 mins 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 58 mins 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 2 hours ago
TT
Director, Manufacturing Operations (North America)
Trojan Technologies
London, ON
- $155,000 to $180,000 CAD / year
- Full-time
Professional Engineer or Engineering Technologist designation.
Added 2 hours ago
TT
Director, Planning, Procurement & Inventory
Trojan Technologies
London, ON
- $155,000 to $180,000 CAD / year
- Full-time
…shortage recovery, and planning logic across Make-to-Stock, Engineer-to-Order, Configure-to-Order, and aftermarket…
Added 2 hours ago
EI
Maintenance Team Leader
Ecolab Inc.
Mississauga, ON
- Full-time
Coordinates work assignments of Maintenance Technicians with the Capital Projects Engineer and Production Team Lead
Added 3 hours ago
PG
Voice and Video Engineer
Pacer Group
Calgary, AB
- $50 to $55 CAD / hour
- Contract
Added 3 hours ago
PG
Cloud Engineer
Pacer Group
Calgary, AB
- $50 to $55 CAD / hour
- Contract
Added 3 hours ago
PG
Voice Engineer
Pacer Group
Calgary, AB
- $55 to $58 CAD / hour
- Contract
Job Title: Voice and Video Engineer (UCCX and CUCM)
Added 3 hours ago
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Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 3 hours ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 3 hours ago
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Enterprise Sales Engineer - Majors, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Added 3 hours ago
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Enterprise Sales Engineer - Majors, Healthcare
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
Added 3 hours ago
MS
Senior Engineer II, Proxy
Menlo Security
Remote, Canada
- Full-time
- Remote
We're hiring a senior engineer to join the team that owns the ingress proxy service. The proxy is the primary path into the product for most users. As AI adoption grows, our customers want…
Added 3 hours ago
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Quality Assurance Specialist
Gastops
Ottawa, ON
- Contract
Added 3 hours 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 4 hours 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…
Added 4 hours ago
Engineer
Toronto Hydro
Toronto, ON
Reporting to the Manager, Engineering, Engineering Policy and Product Change, the Engineer is responsible for providing a broad range of engineering support services to ensure the technical…
Added 4 hours ago
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Founding Product Manager
Klarify (YC P26)
Canada
- Full-time
You'd join Moody (CEO), Bergie (CTO) and Zach (founding engineer) as one of our first hires. You'll own product and work directly with the CEO, with a focus on adoption and expansion:…
Added 4 hours ago
K(
Head of Product
Klarify (YC P26)
Canada
- Full-time
You'd join Moody (CEO), Bergie (CTO) and Zach (founding engineer) as our first product leader. You'll own product strategy and work directly with the CEO on where the product goes next.…
Added 4 hours ago
S
Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework,…
Added 5 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 5 hours ago
B
Security Engineer
Baseten
Montreal, QC
- $150,000 to $250,000 USD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 5 hours ago
B
Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 5 hours ago
B
Frontend Engineer - Dedicated Inference
Baseten
Montreal, QC
- $190,000 to $300,000 USD / year
- Full-time
We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and…

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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