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Added 12 days ago
D
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
- Full-time
Proficient in Python; comfortable with at least one of TypeScript / Java / Go for agent tools and services.
Added 12 days ago
I
Data Engineer Sr
Insight
Toronto, ON
- Full-time
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 13 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 13 days ago
SL
Senior Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Strong proficiency in Python and experience developing software using modern programming languages such as Java, JavaScript, TypeScript, or C#.
Added 13 days ago
AC
Full Stack Engineer
ALTEN Canada
ON · Ontario, Canada
- Other
Own feature delivery end-to-end: Angular 17+/TypeScript 5.x/Angular Material frontend, Java 17+/Jakarta EE 10 backend
Added 13 days ago
MG
Bilingual Technical Design Lead, Identity & Access Management
Maplesoft Group, an SEB Company
Ottawa, ON
- Contract
Strong scripting and programming experience with technologies such as Java, JavaScript, Python, Node.js, and/or PowerShell.
Added 13 days ago
RB
Lead DevOps Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient with Typescript, Java, Python, YAML, NPM, Maven, Gradle, Docker
Added 13 days ago
JG
Cybersecurity Specialist
J&M Group
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 13 days ago
C
Senior Automation Developer (Java)
Citi
Mississauga, ON
- Full-time
Hands-On Java Expertise: Advanced, daily programming proficiency in Core Java (Java 11/17+), with deep practical expertise in Object-Oriented Programming (OOP), design patterns, Collections…
Added 13 days ago
H(
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
5+ years of professional software development experience using languages such as Java, Python, C#, or C++.
Added 13 days ago
C
AVP Full Stack Java/Angular Developer
Citi
Mississauga, ON
- Full-time
Very Strong Java and Spring Boot Development Skills.
Added 13 days ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
Proficiency in Application Development code like Python, C#, R or Java
Added 13 days ago
B
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Strong knowledge in back-end programming languages (ie. Java, Python, Node.js)
Added 13 days ago
R
Lead DevOps Engineer
RBC
Toronto, ON
- Full-time
Proficient with Typescript, Java, Python, YAML, NPM, Maven, Gradle, Docker
Added 13 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 13 days ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Automate database provisioning and management using Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK) and scripting (Python, PowerShell, or Bash)
Added 13 days ago
RB
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
Strong proficiency in at least one primary language: Python, Java, JavaScript, or .NET
Added 13 days ago
C
Software Test Developer Assistant Vice President
Citi
Mississauga, ON
- Full-time
3+ years experience with Java, Python, Kubernetes, SQL
Added 13 days ago
TC
Sr. Automation QE
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Strong proficiency in Java, Python, or JavaScript.
Added 13 days ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
Added 13 days ago
Sr. Site Reliability Administrator
Open Text Corporation
Mississauga, ON
Strong expertise in Linux systems administration, scripting, and troubleshooting complex production environments using languages such as Shell, Python, Perl, or JavaScript.
Added 14 days ago
R
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
- Full-time
Strong proficiency in at least one primary language: Python, Java, JavaScript, or .NET
Added 14 days ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…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…
Added 14 days ago
S
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
- Full-time
Highly skilled in at least one of the languages like Java, Python, .NET framework (C#) and React (Typescript),.
Added 14 days ago
PG
Java/python developer
Pacer Group
Toronto, ON
- Full-time
Design, develop, test, deploy, and maintain secure, scalable microservices, backend applications, and RESTful APIs using Java, Spring Boot, and Python.

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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