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Added 26 mins ago
HS
Senior Software Engineer, Dentrix Ascend
Henry Schein One UK
Surrey, BC
- Full-time
Experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies
Added 56 mins ago
TT
NetReveal Developer
Tundra Technical Solutions
Toronto, ON
- $80 to $100 CAD / hour
- Contract
Our client is seeking a NetReveal Developer / Configurator to join an Agile technology team responsible for enhancing and expanding a fraud case management platform.
Added 56 mins ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 3 hours ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Extensive experience in architecting and scaling systems using Hadoop, Spark, Hive, Trino, Kafka, Flink, and related technologies at production scale (100s to 1000s of nodes).
Added 6 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
✓Familiarity with streaming data (Event Hubs, Stream Analytics, Kafka)
Added 9 hours ago
Data Solutions Architect
Rogers Communications
Calgary, AB · Brampton, ON
Experience with streaming platforms such as Kafka
Added 12 hours ago
J
Sr. Developer - Application Development JAVA N 4B
Jobgether
Canada
- Full-time
…applications and next steps. Our partner is looking for a Sr. Developer – Application Development JAVA N 4B based in…
Added 13 hours ago
J
Sr. Developer - Application Development JAVA N 4B
Jobgether
Canada
- Full-time
…applications and next steps. Our partner is looking for a Sr. Developer – Application Development JAVA N 4B based in…
Added 13 hours ago
A
Data Engineer Analyst
Avanade
Toronto, ON
- Full-time
Be introduced to implementing big data architectures with tools such as Hadoop, Spark, Databricks, Azure Synapse Analytics, and Kafka.
Added 14 hours ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
Experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies
Added 14 hours ago
HS
Senior Software Engineer
Henry Schein One Canada
Surrey, BC
- Full-time
Experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies
Added 14 hours ago
HS
Senior Java Software Engineer
Henry Schein One Canada
Surrey, BC
- $130,000 to $142,000 CAD / year
- Full-time
Experience with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies
Added 15 hours ago
RB
Lead Software Developer
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Software Developer for Trading, your primary role will be software development, where you will develop new and transform existing applications and APIs to fulfill the needs of RBC…
Added 16 hours ago
ES
Python Backend Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
This role is not suited for a developer focused only on application coding. The ideal candidate should demonstrate strong system design, backend architecture, problem-solving, and technical…
Added 16 hours ago
JW
Senior Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
Expertise in backend development with Go, Python, or Java, and deep familiarity with cloud-native architecture (Kafka, Postgres, Kubernetes, or equivalents)
Added 16 hours ago
RI
Senior Full Stack Engineer - Java /
Rose International
Mississauga, ON
- Full-time
Must Have Skills/Attributes: Angular, Artificial Intelligence (AI), Banking/Financial, Java, Kafka, Kubernetes, Microservices, Spring Boot
Added 16 hours ago
R
Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
…real-time data and platform enablement, including streaming (Kafka) and a Snowflake MCP server that opens our data to AI…
Added 16 hours ago
AI
Full Stack Developer - .NET (Intermediate)
Avant Imaging & Information Management, Inc.
Toronto, ON · Scarborough, ON
- Full-time
Reporting to the VP, Solutions & Delivery, we are looking for a talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong…
Added 16 hours ago
H
Senior Product Manager
Highspring
Montreal, QC
- Full-time
Added 16 hours ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
Azure Event Hubs, Kafka, or similar technologies.
Added 17 hours ago
C
Senior UI Developer -Vice President
Citi
Mississauga, ON · Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Senior Application Developer to join our dynamic Rates Technology team. This position is responsible for the design, development, and…
Added 17 hours ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 17 hours ago
SG
Full-Stack Developer (Java, React, Openshift)
Software Guidance & Assistance, Inc. (SGA, Inc.)
Toronto, ON
- Full-time
Software Guidance & Assistance, Inc., (SGA), is searching for a Full stack Developer (Java, React, Openshift) for a contract assignment with one of our premier Financial Services clients in…
Added 17 hours ago
C
Senior Java Developer - Enterprise Payments/ Banking
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Senior Java Developer to join our team and contribute to the design, development, and delivery of high-value payment solutions. In this role, you will develop…
Added 17 hours ago
IF
.NET Programmer Analyst
iA Financial Group
Quebec, QC
- Full-time

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

Remote

Contract

Apply About employer

Applications open in a new tab.

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 ensuring production-grade performance through robust MLOps practices.

Requirements

Candidates must have 5-8+ years of experience in machine learning or software engineering with deep expertise in Python and distributed computing frameworks. A strong background in deploying low-latency models and a solid understanding of statistics and experimental design are required.

Skills

Machine Learning
Python
SQL
Spark
PyTorch
TensorFlow
XGBoost
Distributed Computing
MLOps
Data Engineering
Software Engineering
System Architecture
Statistics
A/B Testing
CI/CD
Deep Learning

Remote locations

Toronto, 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
XGBoost
LightGBM
CatBoost
PyTorch
TensorFlow
ONNX
TensorRT
MLOps
CI/CD
Kafka
Flink
Triton Inference Server
Microservices
Ad Tech
MarTech
Recommendation Systems
Feature Stores
A/B Testing
Statistics
Distributed Computing
Software Engineering
Object-Oriented Programming
GenAI

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