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Added 2 days ago
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 2 days ago
Senior Manager, Engineer & Build
RBC
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 2 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
Advanced experience with Big Data Technologies (Spark, Hadoop, Hive, Kafka), Java/Scala, Springboot, REST APIs, Microservices, NoSQL/SQL databases and React.
Added 2 days ago
Software Dev Engineer II, 3P AV Measurement
Amazon
Toronto, ON
Full-time
…future of advertising. Our stack includes Amazon Clean Room, Spark (Scala), EMR, S3, Elasticsearch, JVM-based services and job schedulers, and cluster management services that oversee our…
Added 3 days ago
Software Dev Engineer II, 3P AV Measurement
Amazon
Toronto, ON
…future of advertising. Our stack includes Amazon Clean Room, Spark (Scala), EMR, S3, Elasticsearch, JVM-based services and job schedulers, and cluster management services that oversee our…
Added 3 days ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
…proficiency in a compiled or high-performance language (e.g., C++, Java, Scala, Go, or…
Added 3 days ago
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
Full-time
Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
Added 3 days ago
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 5 days ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 6 days ago
Member of Technical Staff 3
Nutanix
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Experience with one or more of the following languages: Python, Scala, Java, Golang, C++.
Added 6 days ago
Member of Technical Staff 4
Nutanix
Vancouver, BC
$151,000 to $227,000 CAD / year
Full-time
Experience with one or more of the following languages: Python, Scala, Java, Golang, or C++.
Added 6 days ago
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
Full-time
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
Added 6 days ago
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
Full-time
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
Added 6 days ago
Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 CAD / hour
Contract
The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 10 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
Added 10 days ago
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
Full-time
Experience developing applications using Spark, Scala, Java or Python is a plus
Added 10 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 10 days ago
Spark Scala Java Developer
Pacer Group
Toronto, ON
$55 to $60 CAD / hour
Contract
Experience developing scalable data processing applications using Apache Spark and Scala.
Added 11 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 10 days ago
Spark Scala Java Developer
Pacer Group
Toronto, ON
$60 to $62 CAD / hour
Contract
Proficient in Scala and Java programming.Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).Familiarity with Maven for build and dependency management.Experience with…
Added 10 days ago
Scala Developer
Pacer Group
Toronto, ON
$60 to $65 CAD / hour
Contract
Job Title: Java Developer with Spark and Scala
Added 12 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
Royal Bank of Canada
Toronto, ON
Full-time
Programming Languages: Python, Scala, Java, SQL, etc.
Added 11 days ago
Big Data Developer
Cogency
Toronto, ON
Full-time
Job Title: Big Data Developer – Spark, AWS, Airflow & Snowflake
Added 12 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
RBC
Toronto, ON
Full-time
Programming Languages: Python, Scala, Java, SQL, etc.
Added 13 days ago
Machine Learning Engineer
Manulife
Toronto, ON
Full-time
…experience in ML frameworks and libraries. Experience with Java or Scala for model serving and JVM-based pipelines is an asset, as is familiarity with GenAI tooling such as LangChain,…

Fusemachines

Senior Machine Learning Engineer

Remote, Canada

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

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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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