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Added 7 mins ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
…chatbot, automation to handle data and work with data refinement tools. Understanding business requirements and coming up with optimum and best to the market…
Added 7 mins ago
TM
Senior Mechanical Product Design Engineering Specialist
Trudell Medical International
London, ON
- Full-time
…value to our patients. Demonstrate expert proficiency with the tools and techniques of medical device design while mentoring less experienced engineers. Influence cross functional teams to…
Added 7 mins ago
OP
Electrical Plant Engineer
Ontario Power Generation
Atikokan, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Electrical Plant Engineer.
Added 7 mins ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
TCS Interactive is Tata Consultancy Services’ award-winning full-service agency unit. We design, engineer and activate digital products and services that drive growth and transformation for…
Added 7 mins ago
G
Electrical Engineer/Designer
Grantek
Burlington, ON
- Full-time
The Electrical Engineer/Designer at Grantek is an exciting opportunity for an intermediate to senior-level professional with a strong background in electrical design and industrial control…
Added 8 mins ago
ZT
Software Engineer II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
Stays up to date with the latest technologies and software engineering methodologies (C++, C#, Python, Agentic AI tools), applying them to projects as needed
Added 8 mins ago
Senior Software Engineer
EarnIn
Vancouver, BC
…experienced, product-minded, and resourceful senior backend engineer to own the design, development, and operation of these services and the member outcomes they…
Added 23 mins ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
…on-prem. Admins create and entitle custom agents (prompts, tools, knowledge). End users chat with those agents over documents, SQL, policy RAG, and operational systems (e.g. ticket triage,…
Added 23 mins ago
D
Lead AI.Net Developer
Digitive
Canada
- Contract
…serve as the ground-level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the architectural vision and transformation roadmap, you will be the core builder…
Added 53 mins ago
IG
Software Engineer
IMCS Group
Quebec, QC
- Contract
Experience with state management tools such as NgRx and Redux.
Added 53 mins ago
E
Senior Software Engineer
EarnIn
Vancouver, BC
- Full-time
…experienced, product-minded, and resourceful senior backend engineer to own the design, development, and operation of these services and the member outcomes they…
Added 53 mins ago
QT
Gestionnaire du programme technique / Technical Program Manager
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
Added 53 mins ago
I(
Senior Core Platform Engineer
IRC (Instant Risk Coverage)
Toronto, ON
- Full-time
We're looking for a Senior Core Platform Engineer to help lay the technical foundations of IRC's platform and grow with us as we scale it. This role sits at the heart of what we're…
Added 53 mins ago
F
Staff Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s…
Added 1 hour ago
C/
Business Process Engineer, Innovation
CIRO / OCRI
AB · Vancouver, BC · Toronto, ON · Montreal, QC · Calgary, AB
- Full-time
Reporting to the Director of Innovation, the Business Process Engineer, Innovation will be a dedicated full-time resource supporting CIRO’s AI & Automation Centre of Excellence (COE). The…
Added 1 hour ago
S
Mechanical Engineer
Shred-tech
Cambridge, ON
- Full-time
Contribute to the continuous improvement of engineering standards, processes and tools.
Added 1 hour ago
Technical Program Manager, Platform Services
Motive
Vancouver, BC
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 1 hour ago
R
Scientist/Engineer I
RWDI
Guelph, ON
- $62,000 to $75,000 CAD / year
- Full-time
RWDI is hiring a Junior Scientist/Engineer/EIT for the Exhaust Dispersion & Design team in the Guelph office.
Added 1 hour ago
QT
Ingénieur DevOps et intégration infonuagique / Cloud DevOps & Integration Engineer
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
Position: Cloud DevOps & Integration Engineer | Public Safety Software
Added 1 hour ago
V
Warehouse Associate - Sudbury, ON
Victaulic
Sudbury, ON · Ontario - Sudbury
- Full-time
We engineer change for a more stable and sustainable world.
Added 1 hour ago
T
Software Engineer II - Angular UI
TD
Toronto, ON
- Full-time
Participate in identifying and recommending development / testing solutions / tools in support of project / application objectives
Added 1 hour ago
Series Lead
Aecon
Kincardine, ON
Added 1 hour ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $94 CAD / hour
- Contract
We are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.
Added 1 hour ago
ZS
Senior Data Warehouse Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Title: Principal Data Engineer – Databricks**
Added 2 hours ago
H
Structural Section Manager
HDR
Richmond Hill, ON · Toronto, ON
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…

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 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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