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Added 1 min ago
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 15 mins ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 15 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 15 mins ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 15 mins ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
Scripting experience with Python, Bash, or a similar language
Added 16 mins ago
DevOps Engineer, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a DevOps engineer in our team, you will have the opportunity to work on innovative cloud platform technologies (AWS, GCP) and implement tools to automate maintenance and support our…
Added 31 mins ago
Sr. Site Reliability Administrator
Open Text Corporation
Mississauga, ON
The role Cloud Application Engineer/Site Reliability Engineer is to build solutions to enhance availability, performance, and stability of OpenText services as well as automating away…
Added 31 mins ago
Staff Software Engineer
BuildOps
Toronto, ON
As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to…
Added 45 mins ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…and accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real…
Added 45 mins ago
Gen AI Engineer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
We’re looking for a Mid-Level Gen AI Engineer to build and scale intelligent, production-ready AI solutions. You’ll work with LLMs, RAG, prompt engineering, and AI agents to solve…
Added 1 hour ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
5+ years software development experience with 2+ years in AI/ML; expert-level Python proficiency for production systems
Added 1 hour ago
Security Researcher Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
- Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 1 hour ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 1 hour ago
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
£80 to £95 GBP / year
Full-time
AI Solutions Engineer – Intellectual Property
Added 1 hour ago
Application Developer- Java, python,Spring Boot, Microservice
Smart IT Frame LLC
Toronto, ON
Contract
Job Title: Application Developer Software Engineer
Added 1 hour ago
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
Write clean, object-oriented, and modular production code. Transition models from Python research environments to high-performance serving environments (packaging with ONNX, TensorRT, etc).
Added 1 hour ago
Applied AI Engineer
Velixo
Remote, Canada
Full-time · Remote
This is a measurement-first engineering role. Today we ship AI features and form opinions about quality from anecdotes. You will replace that with evidence.
Added 2 hours ago
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
Full-time
A full stack engineer who can effortlessly navigate between fixing a table layout on the front end to resolving a scalability challenge with a data API in one of the microservices .
Added 2 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 2 hours ago
Senior Data Platform Engineer
Project X
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 2 hours ago
Senior Data Engineer
Ledcor
Vancouver, BC
Full-time
Ledcor is hiring a Senior Data Engineer to join our Data & Analytics Platform team. In this role, you will design, build, and maintain enterprise-scale data solutions that support…
Added 2 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 2 hours ago
Tableau Administrator
Collabera
Toronto, ON
$80 to $90 USD / hour
Contract
The BI Platform Operations Engineer will provide production support across Tableau, AWS QuickSight, and the organization's custom BI-as-a-Service platform. They will administer and…
Added 2 hours ago
Embedded Software & Firmware Engineer
ITS Electronics
Vaughan, ON
Full-time
We are seeking a skilled Embedded Software & Firmware Engineer to join our engineering team. The successful candidate will be responsible for the design, development, maintenance, and…

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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