Jobs in Canada

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Added 1 month ago
AI Software Engineer
Associate Staffing
Richmond, BC
Contract
…back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products - working closely with engineers, data…
Added 28 days ago
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…architectural decisions under ambiguity, and the influence to align senior leaders on architectural…
Added 3 months ago
Solutions Architect
Shakudo
Toronto, ON
Full-time
Work with cutting-edge technologies in machine learning and high-performance computing
Added 19 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
You will develop advanced machine learning algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.
Added 11 days ago
Senior Director, Program Delivery
RBC
Toronto, ON
Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 4 months ago
Data Scientist
Gibraltar Mine
McLeese Lake, BC
Full-time
Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:
Added 1 month ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
$123,600 to $187,900 USD / year
Full-time · Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 1 month ago
AI/ML Infrastructure Engineer
Avenue Code
Canada
Full-time
Avenue Code is seeking a Senior AI/ML Infrastructure Engineer to support the development and evolution of a large-scale Machine Learning Platform for a global technology company.
Added 1 month ago
Senior Applied AI Engineer
BMO
Toronto, ON · FCP
Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
Added 1 month ago
Senior Python Developer
Ampliwork
Montreal, QC
While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 1 month ago
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
Full-time
…advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial…
Added 1 month ago
Senior Software Engineer, AI
Klue
Toronto, ON
$140,000 to $230,000 CAD / year
Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 20 days ago
Senior Software Engineer, AI
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
…with the backing, data, and reach of a global leader. As a Senior Software Engineer, AI, you'll take the lead in developing the intelligent systems powering the next generation of expert…
Added 21 days ago
Senior Machine Learning Engineer
Remitly
Burnaby, BC
Full-time
As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine…
Added 1 month ago
Principal AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 19 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
You will develop advanced machine learning algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.
Added 1 month ago
Senior AI Engineer - Tangerine
Tangerine
Toronto, ON
Full-time
The Senior AI Engineer is responsible for the engineering execution and delivery of technology solutions that support Tangerine’s AI platform. This role ensures the timely delivery,…
Added 1 month ago
Senior Software Engineer, Data Systems
hive.co
Remote, Canada
Full-time · Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 19 days ago
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
Full-time
…and operationalize data for AI and analytics workloads. As a Senior Manager within the (DII) Team, you will play a key role in enabling BMO's AI and advanced analytics capabilities by…
Added 1 month ago
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
Full-time
We are looking for a Senior MLOps Engineer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms.
Added 1 month ago
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 1 month ago
Data Solutions Architect
Allied
Toronto, ON
Full-time
Reporting to the Senior Manager, Data Strategy and Transformation, you will collaborate with Technology, Finance, Leasing, Portfolio Operations, Property Management, and other business…
Added 1 month ago
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration…

Avenue Code

AI/ML Infrastructure Engineer

Canada

Job type: Full-time
Posting language: English
Posted: Aug 11, 2026

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Original job description

About The Opportunity

Avenue Code is seeking a Senior AI/ML Infrastructure Engineer to support the development and evolution of a large-scale Machine Learning Platform for a global technology company.

This role will focus on building the infrastructure, tooling, and platform capabilities that enable Machine Learning Engineers, researchers, and product teams to efficiently train, deploy, and serve AI and ML models at scale.

You will work on production-grade ML infrastructure, contributing to platform SDKs and developer tooling while managing Kubernetes-based environments designed to support demanding machine learning workloads, including distributed training and GPU-based compute.

This is a highly technical, infrastructure-focused opportunity ideal for engineers with strong software engineering foundations who enjoy working at the intersection of Machine Learning, Platform Engineering, Kubernetes, and distributed systems.

This is a hybrid role based in Toronto, Canada. Candidates must be currently based in Canada and able to attend occasional in-person meetings in Toronto.

Responsibilities

Design, build, and maintain scalable infrastructure and tooling for training and serving Machine Learning models in production.
Contribute to ML Platform SDKs and develop tools supporting various ML operations and workflows.
Build reliable and scalable platform capabilities that simplify the productionization of AI and ML models.
Manage and maintain large-scale production Kubernetes clusters supporting ML workloads.
Support infrastructure for distributed model training, including GPU-based workloads.
Collaborate closely with Machine Learning Engineers, researchers, and product engineering teams to deliver scalable ML platform solutions.
Design, document, implement, and maintain reliable, testable, and maintainable ML infrastructure capabilities.
Support the operational reliability, scalability, and performance of ML platform infrastructure.
Evaluate and apply new technologies to solve evolving infrastructure and ML platform challenges.
Contribute to engineering best practices around modular architecture, testing, automation, and production operations.

Required Qualifications

6+ years of hands-on software engineering, ML Infrastructure, Platform Engineering, or related experience, with demonstrated experience implementing production ML infrastructure at scale.
Strong programming experience with Python, Go, or similar backend languages.
Hands-on experience managing Kubernetes environments in production.
Experience supporting Machine Learning workloads and infrastructure at scale.
Understanding of distributed model training, including GPU-based workloads and Kubernetes-based execution.
Knowledge of deep learning fundamentals, algorithms, and modern ML ecosystems.
Experience with ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Ray, or similar technologies.
General understanding of data processing and data workflows for Machine Learning.
Strong understanding of software engineering principles, modular code design, testing, and maintainability.
Experience working within Agile software development environments.
Strong communication and collaboration skills, with the ability to work effectively with Machine Learning Engineers, researchers, and product teams.

Nice To Have Skills

Experience building or maintaining internal Machine Learning Platforms or ML developer platforms.
Experience developing SDKs, APIs, or developer tooling for Machine Learning workflows.
Deep experience with GPU infrastructure and large-scale distributed training.
Experience with ML model serving and production inference infrastructure.
Familiarity with MLOps practices and model lifecycle management.
Experience with cloud-native infrastructure supporting large-scale AI/ML workloads.
Experience improving developer productivity and simplifying ML productionization workflows.

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More about this job

Responsibilities

Design and maintain scalable infrastructure and tooling for training and serving machine learning models in production. Manage large-scale Kubernetes clusters and develop platform SDKs to simplify the productionization of AI workloads.

Requirements

Requires over 6 years of experience in software or platform engineering with a strong focus on production ML infrastructure and Kubernetes. Proficiency in Python or Go and experience with deep learning frameworks like PyTorch or TensorFlow are essential.

Skills

Kubernetes
Python
Go
ML Infrastructure
Distributed Training
GPU Compute
PyTorch
TensorFlow
Hugging Face
Ray
MLOps
Platform Engineering
SDK Development
Distributed Systems
Agile
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Infrastructure
Kubernetes
Python
Go
GPU
Distributed Training
PyTorch
TensorFlow
Hugging Face
Ray
MLOps
SDK
API
Model Serving
Inference
Cloud-Native
Agile
Platform Engineering
Distributed Systems
Deep Learning
Data Processing
Modular Architecture
Automation

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