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Added 9 mins ago
PL
Mine Engineer/Planner - PL#43148
Peter Lucas Project Management Inc.
Sudbury, ON
- $130,000 to $160,000 CAD / year
- Full-time
…delivery. We are currently looking for an experienced Mine Engineer / Planner to join our…
Added 9 mins ago
PL
Mine Engineer/Planner - PL#43148
Peter Lucas Project Management Inc.
Toronto, ON
- $130,000 to $160,000 CAD / year
- Full-time
…delivery. We are currently looking for an experienced Mine Engineer / Planner to join our…
Added 9 mins ago
PL
Mine Engineer/Planner - PL#43148
Peter Lucas Project Management Inc.
Timmins, ON
- $130,000 to $160,000 CAD / year
- Full-time
…delivery. We are currently looking for an experienced Mine Engineer / Planner to join our…
Added 9 mins ago
ES
Senior / Lead Azure Data Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior / Lead Azure Data Engineer with strong expertise in Microsoft Azure, Azure Data Factory, Azure Databricks, PySpark, and Azure Synapse Analytics. The…
Added 9 mins ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
A leading life sciences consulting organization is seeking an experienced Lead Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within…
Added 9 mins ago
P
Senior Forward Deployed Engineer – AI & Data Engineering
PeoplePilot
Toronto, ON
- Full-time
# Senior Forward Deployed Engineer – AI & Data Engineering
Added 9 mins ago
E
Senior Software Engineer
EarnIn
Vancouver, BC
- Full-time
…experienced, product-minded, and resourceful senior backend engineer to own the design, development, and operation of these services and the member outcomes they…
Added 9 mins ago
F
Staff Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s…
Added 24 mins ago
C/
Business Process Engineer, Innovation
CIRO / OCRI
AB · Vancouver, BC · Toronto, ON · Montreal, QC · Calgary, AB
- Full-time
Reporting to the Director of Innovation, the Business Process Engineer, Innovation will be a dedicated full-time resource supporting CIRO’s AI & Automation Centre of Excellence (COE). The…
Added 39 mins ago
R
Scientist/Engineer I
RWDI
Guelph, ON
- $62,000 to $75,000 CAD / year
- Full-time
RWDI is hiring a Junior Scientist/Engineer/EIT for the Exhaust Dispersion & Design team in the Guelph office.
Added 39 mins ago
T
AI Engineer
Talenzaa
Mississauga, ON
- Full-time
Added 1 hour ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
Added 1 hour ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $94 CAD / hour
- Contract
We are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.
Added 1 hour ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
We bring together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, with proprietary accelerators and…
Added 1 hour ago
NF
Renewable Energy Asset Manager
Natural Forces
Halifax, NS
- Full-time
Added 1 hour ago
ZS
Senior Data Warehouse Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Title: Principal Data Engineer – Databricks**
Added 1 hour ago
H
Analog Validation & Characterization Engineer
HaiLa
Montreal, QC
- Full-time
This is an exciting opportunity for an Analog Validation & Characterization Engineer to join our dynamic and diverse team! This is a full-time, on-site role reporting to the VP of…
Added 1 hour ago
Y
Senior Azure Databricks Platform / Infrastructure Engineer
Yochana
Toronto, ON
- Full-time
Position Name – Senior Azure Databricks Platform / Infrastructure Engineer
Added 1 hour ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 1 hour ago
AS
Technical Lead - AI Delivery
Ardent SoftSol Inc.
Brampton, ON
- Contract
Added 1 hour ago
IG
DevOps Engineer | Azure + GitHub Enterprise
Insight Global
Toronto, ON
- $62.86 to $68.75 CAD / hour
- Contract
Insight Global is looking for an experienced DevOps Engineer to join a leading financial services organization within its Global Asset Management technology team.
Added 1 hour ago
IS
Senior QA Engineer (Python & French Language Mandatory)
InfiCare Staffing
Toronto, ON
- Contract
Looking for a Senior QA Engineer with strong Python automation, advanced SQL, AWS data pipeline testing, and backend/API testing experience. The role focuses on simulating high-volume…
Added 2 hours ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
Added 2 hours ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Added 2 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This pivotal role bridges the gap between raw data and actionable business…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply About employer

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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 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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