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Added 2 days ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility.
Added 2 days 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…
Added 2 days ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
Significant hands-on experience as a senior software engineer, lead software engineer, technical lead, or in an equivalent engineering leadership role, including taking new solutions into…
Added 2 days ago
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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 2 days 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 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 2 days ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
Added 2 days 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 2 days ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 2 days ago
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Senior Machine Learning Engineer
Hays
Toronto, ON
- Contract
Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
Added 2 days ago
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Software Engineer II
Beanfield
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We are seeking a senior Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 2 days ago
MP
Senior Data Engineer
Michael Page
Winnipeg, MB
- $85,000 to $90,000 CAD / year
- Full-time
This Data Engineer role focuses on designing, building, and supporting scalable data pipelines and cloud-based data solutions while ensuring data quality, security, and operational…
Added 2 days ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 2 days ago
ET
Senior AI/ML Engineer
Envision Technology Solutions
Canada
- Contract
The Senior AI/ML Platform Engineer will build, productionize, and operate AI/ML solutions on Azure Databricks platform.
Added 2 days ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 2 days ago
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Associate Data Engineer
Punt
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…
Added 3 days ago
TT
Software Development Engineer
Teledyne Technologies Incorporated
Edmonton, AB · Canada - Edmonton, AB
- Full-time
If you enjoy building software that directly impacts manufacturing operations, this is an opportunity to take a senior role in delivering scalable, high-impact solutions. As part of…
Added 3 days ago
Oracle EPM Engineer
Capgemini
Montreal, QC
We are seeking a Senior Oracle EPM engineer with strong PLSQL and Shell Scripting skills. You will manage optimize and scale our Hyperion financial planning and consolidation…
Added 3 days ago
Software Developer, Data Engineering
Robinhood
Toronto, ON
…optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power…
Added 3 days ago
L
Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake, and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 3 days ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our clients in the Spread Products space.
Added 3 days ago
SC
Senior Environmental Data Engineer
SLR Consulting
Calgary, AB · Vancouver, BC · Guelph, ON
- Full-time
As our Senior Environmental Data Engineer, you’ll build and maintain custom tools, reports, and data workflows that integrate with EQuIS while working closely with clients to understand…
Added 3 days ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 3 days ago
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Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Vehicle Systems Engineer to lead complex vehicle…
Added 3 days ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a Senior Support Analyst to provide Level 2/Level 3 technical support for core tokenized deposit platforms, ledger data pipelines, and blockchain-based payment…

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.

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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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