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Added 15 mins ago
T
Software Engineer II - Angular UI
TD
Toronto, ON
- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 15 mins ago
JE
Technology Manager
Just Eat Takeaway.com
ON
- Full-time
As a Technology Manager, you will oversee the architectural design and technical implementation of solutions built by your engineering team. We engineer for high scale and low latency,…
Added 15 mins ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
Knowledge of design patterns, system resiliency, observability, scalability and performance
Added 15 mins ago
TR
TPSS Work Package Manager
Trillium Rail Partners
Mississauga, ON
- Full-time
…for the full lifecycle delivery of the Traction Power Supply System (TPSS) across the ECWE project. This role ensures the successful execution of design, procurement, installation, testing…
Added 15 mins ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
The Backend Engineer – Python (API & Platform Engineering) will be responsible for designing, developing, and maintaining scalable backend services and APIs. The role involves contributing…
Added 15 mins ago
C
Structural Engineer - Calgary
CIMA+
Calgary, AB
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 45 mins ago
MA
Flight Control Engineer
Mobile Apps US
Quebec, QC
- Full-time
We are seeking an experienced Flight Controls Laws Design Engineer to develop, enhance, integrate, and validate flight control laws for Fly-By-Wire (FBW) aircraft. The ideal candidate will…
Added 45 mins ago
SE
Embedded Software Engineer
Schneider Electric
Victoria, BC
- Full-time
Join Schneider Electric's Embedded Design team in Victoria, British Columbia, and contribute to the development of advanced power metering solutions, including the ION8700, ION9000, and…
Added 45 mins ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 1 hour ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…functions. This role also requires a broad knowledge of the system design lifecycle, spanning across pre-silicon into post-silicon…
Added 1 hour ago
SG
Senior Automation Engineer
Socomec Group
Brampton, ON
- Full-time
Socomec is seeking a Senior Automation Engineer to join our Energy Storage Systems (ESS) R&D team. This role will focus on the development, integration, testing, and commissioning of…
Added 1 hour ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
Build Simulation Frameworks: Design and maintain Python-based automation scripts (using Pytest/Requests) to simulate thousands of real-time trades and stress-test our trading platforms.
Added 1 hour ago
SG
Electrical Engineer
Socomec Group
Brampton, ON
- Full-time
The purpose of this position is to design, configure, validate, and support electrical systems for power distribution products by converting customer and project requirements into safe,…
Added 1 hour ago
SG
Electrical Engineer & Project Manager, BESS
Socomec Group
Brampton, ON
- Full-time
Professionally work on the system integration and design of energy storage and microgrids including appropriate analysis: sizing, architecture, standards, risks, etc.
Added 1 hour ago
P
Senior Cloud Engineer
Paymentus
Richmond Hill, ON
- $100,000 to $140,000 CAD / year
- Full-time
The Cloud Engineer is responsible for supporting, monitoring and tooling of Cloud deployments. The Cloud Engineer works closely with the Development and QA teams to produce reliable and…
Added 1 hour ago
HS
Quality Supervisor
HR Solutions
ON · Niagara, ON
- Full-time
 Certified Quality Engineer/Certified Quality Technician preferred, Certified Manager of
Added 2 hours ago
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS), MADS Data Signals
Amazon
Toronto, ON
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Added 2 hours ago
Wiring Engineer
Westerkirk
Calgary, AB · Mississauga, ON
Supporting system development from concept design to production, resolving and design, manufacturing, and assembly issues
Added 2 hours ago
Mechanical Systems Engineer
Westerkirk
Calgary, AB · Mississauga, ON
5+ years experience supporting airworthiness certification under a TCCA framework working knowledge of system design, test and certification requirements and advisory material.
Added 3 hours ago
SI
Hardware Engineering, Staff Engineer- 19028
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
A seasoned engineer with experience in DDR/HBM SIPI engineering. You possess a deep understanding of high-speed interface signaling operations, including s-parameters, channel loss,…
Added 3 hours ago
C
Ingénieur(e) en thermodynamique-Thermodynamics Professional Engineer
Cyient
Montreal, QC
- $90,000 to $120,000 USD / year
- Full-time
Thermodynamics Professional Engineer Job Description In your role, you will support new aircraft program development and in service aircraft in all thermodynamics related issues, including…
Added 3 hours ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- Full-time
…team, you will work across agent runtime, capability and skill design, evaluation infrastructure, and the systems that let agents find and act on the right data.We are looking for a Lead…
Added 3 hours ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 3 hours ago
AM
Systems Design Engineer 2
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. Hands on technical role to drive both Out of Band and In Band System Management testing. These…
Added 4 hours ago
NB
QRM CHIEF DEVELOPER
National Bank of Canada
Toronto, ON
- Full-time
…Application Security, Certified Quantitative Software Process Engineer, Containerization, DevOps, Equity Capital Markets, Initiative, Microsoft SQL Server, Powershell, Python, Solution…

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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