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Added 24 mins ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
…strategy, establish engineering best practices, and support enterprise-wide data…
Added 24 mins ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 24 mins ago
Databricks Architect
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Canada
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We are looking for an experienced Databricks Architect to design, implement, and govern enterprise-scale data platforms on Azure Databricks.
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Senior Database Administrator - Information Technology Services
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…matter expert responsible for leading activities related to enterprise database technologies within Information Technology Services (ITS). You will coordinate the development and design of…
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Senior AI Engineer
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Architect Secure, Reliable, And Observable Systems
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AWS Architect/ Tech Lead
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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 52 mins ago
Enterprise Program Architect
Aptino, Inc.
Canada
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We are looking for a highly experienced Enterprise Program Architect with 15+ years of Oracle and enterprise transformation experience to lead large-scale ERP transformation initiatives.
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Senior Salesforce CRM Solution Architect
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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…
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DevOps Manager
Raise
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…ingenuity with agentic systems that scale intelligence across the…
Added 54 mins ago
Architecte Infrastructure TI
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Montreal, QC
Full-time
The IT Infrastructure Architect will be responsible for resolving complex IT challenges and evolving the technology architecture of a growing organization expanding through integrations,…
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Technical Program Manager
HCLTech
Vancouver, BC
$120,000 to $135,000 CAD / year
Full-time
Facilitate technical design discussions and align solutions with business objectives and enterprise architecture standards.
Added 1 hour ago
Senior Integration Developer
York University
Toronto, ON
Full-time
Strong knowledge of enterprise architecture, industry best practices and modern technologies across a broad area of technical domains, including cloud, infrastructure, middleware and…
Added 1 hour ago
Salesforce Developer
Procom
Toronto, ON
$80 to $100 CAD / hour
Contract
Develop and support integrations between Salesforce and enterprise applications using APIs and middleware platforms.
Added 1 hour ago
M365 Migration Architect/Technical Lead
Affinity
Vancouver, BC
Contract
Support the migration of approximately 30TB of enterprise data.
Added 1 hour ago
Senior Automation Developer (Java)
Citi
Mississauga, ON
Full-time
Framework Architecture & Design: Architect, implement, and scale robust, Java-based automation frameworks from scratch for UI and server-side components, prioritizing highly reusable…
Added 1 hour ago
Data Architect - Intermediate
Insurance Corporation of British Columbia
North Vancouver, BC
The Data Architect Intermediate (Temporary Full Time) will join the IM Data Management & Operations team and focus on developing data and analytics solutions, working closely with business…
Added 2 hours ago
Cloud Architect
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Lead solution architect for cloud upgrade and enterprise system integration.
Added 2 hours ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
…people-management responsibility, and works across Canadian and enterprise technology teams to translate standards and strategic direction into secure, reliable, supportable…
Added 2 hours ago
Shopify Practice Director
Jobgether
Canada
$130,000 to $185,000 USD / year
Full-time
Additional certifications such as AWS, Azure, or GCP Solutions Architect, TOGAF, SAFe, PMP, or equivalent enterprise architecture credentials are valued.
Added 2 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…
Added 3 hours ago
Senior Microsoft Dynamics & Data Architect - Dynamics 365 F & O
TECONICA SOFTWARES
Richmond, BC
Full-time
We are seeking a Senior Microsoft Dynamics & Data Architect who combines deep Dynamics 365 F&O expertise with strong enterprise
Added 3 hours ago
Oracle Cloud Technical Architect
Nuvei
Remote, Canada
Remote
Nuvei is looking for an Oracle Cloud Technical Architect to lead the Oracle technical layer of the UFS Reimagined program within the Global Finance organization. The program is delivering…
Added 3 hours ago
Oracle Cloud Developer
Nuvei
Remote, Canada
Remote
The role reports to the Director, Oracle Solutions, works day to day with the Oracle Cloud Technical Architect, and collaborates closely with functional business process leads, the systems…

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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