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Added 9 days ago
S
Ignition SCADA Specialist
SGS
Edmonton, AB · Calgary, Alberta
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
Vancouver, BC · Calgary, Alberta
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
RB
Lead Platform Developer (AEM)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Platform Developer will perform various tasks to deliver IT solutions that exceed customer expectations in content, usability, accuracy, reliability and performance. This person is…
Added 9 days ago
RE
Senior Java Software Engineer
Randstad Enterprise
Montreal, QC
- Contract
Job Title: Senior Java Developer Consultant Role
Added 9 days ago
S
Ignition SCADA Specialist
SGS
Regina, SK
- $90,000 to $125,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
AB · Edmonton, AB
- $90,000 to $1,250,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
Vancouver, BC
- $90,000 to $125,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
Calgary, AB
- $90,000 to $125,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
Calgary, AB
- $90,000 to $125,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
S
Ignition SCADA Specialist
SGS
AB · Edmonton, AB
- $90,000 to $1,250,000 CAD / year
- Full-time
Proficiency in at least one scripting or programming language (Python/Jython, C#, or Java); ability to write production scripts within Ignition.
Added 9 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 9 days ago
R
Lead Platform Developer (AEM)
RBC
Toronto, ON
- Full-time
The Lead Platform Developer will perform various tasks to deliver IT solutions that exceed customer expectations in content, usability, accuracy, reliability and performance. This person is…
Added 9 days ago
RD
Software Engineer in Test
Randstad Digital
Toronto, ON
- Contract
Automation & Core Tech: Strong proficiency in Java, Selenium, Cucumber, and API testing.
Added 9 days ago
R
Lead DevOps Engineer
RBC
Toronto, ON
- Full-time
…Enterprise security standards. You will lead efforts to enhance developer productivity, optimize build pipelines, and foster a culture of collaboration and continuous improvement across the…
Added 9 days ago
SL
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Hands-on coding experience in Java, Apache Tomcat, JAX-RS, Maven, and Gradle
Added 9 days ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Added 9 days ago
RB
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 9 days ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
Core Java & Java Frameworks: Spring Framework / J2EE / Reactor
Added 9 days ago
CS
WORDPRESS BACKEND DEVELOPER
Cordiace Solutions
Cochin, SK
- Full-time
Hands-on experience with: PHP, PHP-CodeIgniter, Core php, JAVA
Added 9 days ago
AI
Guidewire Developer
Avanciers Inc.
Toronto, ON
- $85 to $105 CAD / hour
- Contract
As the Guidewire Lead Developer, you will spearhead the design, core development, and architectural evolution of our Guidewire cloud and on-prem ecosystems. Focusing heavily on PolicyCenter…
Added 9 days ago
LC
Supply Chain, Business Intelligence Developer
Loblaw Companies Limited
Brampton, ON
- Full-time
…Oracle, Hana, Unix Scripting, Hadoop, SQL, My SQL, Power BI, HTML/Java, Python MicroStrategy, Power Apps, Big Query, MS Data Factory, Data…
Added 9 days ago
EI
Web/JS Developer
eBricks Inc
ON · Regional Municipality of York, ON
- Full-time
eBricks Inc. is looking for talented and passionate Java/J2EE/cloud developers with strong web development knowledge. The individuals will work on complex web-based application development.…
Added 9 days ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
…world through AI, driving innovation, and keeping Salesforce's core values at the heart of it…
Added 9 days ago
R
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 9 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…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…

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 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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