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Added 25 mins ago
IS
Junior Software Engineer
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Junior Software Engineer with a strong Computer Science background and exposure to Generative AI (GenAI) technologies. The candidate will support the design, development,…
Added 40 mins ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Added 1 hour ago
M
Associate Creative Director
Monks
Toronto, ON
- Full-time
As Associate Creative Director (ACD), GenAI, you will serve as a creative leader and technical pioneer within the Monks Google Studio, guiding and looking after our growing team of AI…
Added 1 hour ago
PC
Senior Associate, Financial Services, Digital Banking Operations, Consulting
Pwc Canada
Toronto, ON
- Full-time
Understanding the evolution and new trends in technologies (e.g., GenAI, Machine Learning) and how these technologies can help to solve complex problems
Added 2 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Exposure to Snowflake Cortex, GenAI, AI-enabled analytics, semantic models, or agent-based analytics.
Added 2 hours ago
P
Data & Analytics Leader – BFSI
PeoplePilot
Toronto, ON
- Full-time
- Define target-state strategies across cloud data platforms, data products, analytics, AI/ML, GenAI, governance, and responsible AI.
Added 2 hours ago
H
Consulting Professional Services Sales Director
Highspring
Montreal, QC
- Full-time
…partner with enterprises across Cloud, Data, Cybersecurity, GenAI, Digital Engineering, and Enterprise Modernization to accelerate delivery, strengthen internal capabilities, and drive…
Added 2 hours ago
D
Full Stack Developer (Java/Python + Gen AI)
Digitalogia
Brampton, ON
- Contract
Role Description This is a contract Full Stack Developer (Java/Python + Gen AI) role based in Brampton, ON with a hybrid work arrangement, allowing a mix of on-site and work-from-home days.…
Added 3 hours ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 3 hours ago
PC
Capital Markets and Accounting Advisory Services, Senior Manager (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Leverage a broad range of analytical tools, techniques, and GenAI solutions to identify insights from emerging business trends, drive value across client projects and internal initiatives,…
Added 3 hours ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
ML / Generative AI Model Knowledge – Strong understanding of ML and GenAI models and their real-world applications.
Added 3 hours ago
AS
Technical Lead - AI Delivery
Ardent SoftSol Inc.
Brampton, ON
- Contract
They will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will…
Added 9 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Agentic / GenAI Development: Experience designing agentic workflows or utilizing LLMs to automate ad creative generation, campaign copilot tools, or internal ML development workflows…
Added 11 hours ago
RD
Technical Project Manager - AI
Randstad Digital
Montreal, QC · Greater Montreal Metropolitan Area
- $70 to $90 CAD / hour
- Contract
…AWS/Azure/GCP), ELT pipelines, enterprise data catalogs, and modern AI/GenAI execution patterns (RAG, prompt…
Added 11 hours ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
…Databricks Genie / Genie Code, machine learning, and emerging GenAI use cases across Manufacturing, Supply Chain, Sales, Finance, and…
Added 13 hours ago
B
Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 13 hours ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 13 hours ago
CC
Technical Support Analyst
Colas Canada Inc.
St. Albert, AB
- Full-time
Added 16 hours ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Added 16 hours ago
RE
Backend Python Developer - GenAI Focus
Randstad Enterprise
Montreal, QC
- Contract
Job Title: Backend Python Developer - GenAI Focus
Added 16 hours ago
TC
Gen AI Security lead
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Conduct AI/GenAI security, governance, risk, and compliance assessments.
Added 16 hours ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Added 16 hours ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Added 16 hours ago
T
Technical Lead AI Delivery
TechDoQuest
Brampton, ON
- Contract
They will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will…
Added 17 hours ago
Y
Technical Lead - AI Delivery
Yochana
Brampton, ON
- Contract
They will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will…

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 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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