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Added 12 mins 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…
Added 12 mins ago
AA
Vice President, Business Development
AIP Asset Management
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- Full-time
Capture business-development activity, investor and partnership pipeline development and asset flows in the firm's CRM and provide regular market intelligence and territory reporting to…
Added 12 mins ago
FD
Logistics Account Executive, Freight & Carrier Sales
Fil Delivery
Mississauga, ON
- Full-time
…for FIL Freight's commercial team - so Account Managers and Business Development Managers can spend their time winning business instead of managing operational fires. It doesn't carry a…
Added 42 mins ago
J
Data Partnerships
Jobgether
Canada
- Full-time
…potential customers and connect decision-makers with relevant business opportunities. There is no requirement to leave your current job, work full-time, or commit to an exclusive…
Added 42 mins ago
A
Représentant(e) Ventes internes/Inside Sales Representative
ADP
Montreal, QC
- Full-time
Added 42 mins ago
I
Consultant, Services de conseil et d’analyse / Consultant, Consulting & Analytics Services
IQVIA
Mississauga, ON · Montreal, QC · Quebec, QC
- Full-time
Added 2 hours ago
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Marketing Strategist (Temporary)
NAIT (Northern Alberta Institute of Technology)
AB · Edmonton, AB
- Full-time
Decipher business challenges/opportunities and advising on the marketing solution/strategy and considering brand and reputation risks in the external environment.
Added 2 hours ago
KD
Premier·ère analyste financier·ère | Senior Financial Analyst
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
Added 2 hours ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
…capacités avancées d’analyse, de gestion des connaissances, d’intelligence artificielle et d’IA…
Added 2 hours ago
NB
Senior Analyst - SSI Expert
National Bank of Canada
Montreal, QC
- Full-time
Support business partners by resolving complex operational issues and delivering professional, efficient, and solution-oriented service.
Added 2 hours ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
…working closely with clients and delivery teams to translate business needs into scalable Salesforce…
Added 3 hours ago
O
Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
…Agentic AI product portfolios within the Content Management Business Unit. This senior leadership role will shape OpenText’s AI product roadmap and execution, driving innovation at scale…
Added 4 hours ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
…data flows while collaborating closely with engineering and business…
Added 4 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Design rigorous A/B and multivariate tests to measure the true business incrementality of ML models.
Added 6 hours ago
AC
Database Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
…support the databases and related backend components used by business applications, data integration, and analytics, with primary accountability for database availability, data integrity,…
Added 6 hours ago
RB
Network Operations Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
This is an exciting opportunity to utilize AI-powered anomaly detection and predictive analytics to anticipate and prevent outages before they impact business operations.
Added 6 hours ago
SI
Business Intelligence Analyst
Spait Infotech
Canada
- Full-time
Identify business trends, patterns, KPIs, and performance metrics.
Added 6 hours ago
A
Program Manager
Affinity
Vancouver, BC
- Contract
The initiative is focused on bringing trusted, certified business and financial data into an established enterprise data platform, replacing manual and fragmented data collection,…
Added 6 hours ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Reporting to the Vice President, Corporate Services & Chief Financial Officer, the Manager, Finance, Performance and Analytics supports the hospital's strategic objectives, performance…
Added 6 hours ago
AC
Data Analytics Manager
Amphenol Communications Solutions
Markham, ON
- Full-time
We are seeking a Data Analytics Manager to lead our Enterprise BI and Analytics Service team and deliver trusted, actionable analytics that meet customer and business needs. This role will…
Added 6 hours ago
AT
Lead Data Analyst
Altis Technology
Ottawa, ON · Greater Ottawa Metropolitan Area
- Contract
You'll lead reliability intelligence programs, overseeing data collection, validation, analysis, and annual reporting.
Added 6 hours ago
J
Digital Marketing Specialist, Search
Jobgether
Canada
- $55,000 to $60,000 CAD / year
- Full-time
…Working across dealer websites, advertising platforms, and analytics tools, you will contribute to stronger digital experiences and improved consumer engagement. You will also prepare…
Added 6 hours ago
OT
Principal Product Manager (AI)
Open Text Corporation
Richmond Hill, ON
- Other
…make our clients wildly successful and deliver significant business…
Added 7 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 7 hours ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
We Are Seeking a Skilled Business Intelligence And Data Engineering Professional With a Strong Background In Design And Development, Data Modeling, And Business Analytics. This Individual…

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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