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Added 5 days ago
D
Manager, Actuarial Insurance Solutions (AIS) - Property & Casualty
Deloitte
Toronto, ON
- Full-time
Added 5 days ago
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Internal Audit Specialist
YNCU
Kitchener, ON
- $67,000 to $71,000 CAD / year
- Full-time
…ensure key business risks are managed appropriately and that the systems of internal controls are operating effectively which includes the evaluation of internal controls, the application…
Added 5 days ago
AC
Civil & Structural Engineer - Transmission and Distribution Substation Designs
Artelia Canada
Mississauga, ON
- Full-time
Perform calculations for containment systems such as oil-water separation as well as the required containment devices, as per the project criteria, and assist in the preparation of the…
Added 5 days ago
BC
Intermediate Electrical Designer
BBA Consultants
Thunder Bay, ON
- Full-time
As a member of the BBA Central Canada Electrical and Power Systems Engineering team, you’ll be responsible for technical quality, project scope execution and regional collaboration with…
Added 5 days ago
IA
AI/ML Platform Engineer – Containers & GPU Infrastructure - Canada
IT Accel, Inc.
Toronto, ON
- Full-time
Develop and consume APIs, SDKs and webhooks to connect orchestration platforms with enterprise systems.
Added 5 days ago
AS
Technical Manager – EAF Steelmaking
Algoma Steel Inc.
Sault Ste. Marie, ON
- Full-time
In-depth knowledge of quality management systems (ISO 9001, IATF 16949) and root cause problem-solving methodologies.
Added 5 days ago
FC
Journeyperson Electrician
FLINT Corp.
MB · St. Paul, Manitoba
- Full-time
…tradespersons - they're essential specialists who bring power, control systems, and critical infrastructure to life. At FLINT, we recognize that your electrical expertise keeps operations…
Added 5 days ago
FC
Quality Control Administrator
FLINT Corp.
Alexis Whitecourt 232, AB · Whitecourt, Alberta
- Full-time
Enter, track, and monitor quality data in company databases and reporting systems.
Added 5 days ago
C
Electrical Substation Engineer
CIMA+
Kelowna, BC · Vancouver, British Columbia
- $106,000 to $146,000 CAD / year
- Full-time
Design and calculation of AC and DC auxiliary systems including single line diagram, load calculations, distribution drawings, voltage drop calculations, battery sizing. etc.;
Added 5 days ago
C
Electrical Substation Engineer
CIMA+
Calgary, AB · Vancouver, British Columbia
- Full-time
Design and calculation of AC and DC auxiliary systems including single line diagram, load calculations, distribution drawings, voltage drop calculations, battery sizing. etc.;
Added 5 days ago
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Operations Manager
Hotel Equities Group, LLC
Bracebridge, ON
- Full-time
Added 5 days ago
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Contact Center Consultant
HCLTech
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Design integrations between the contact center platform and CRM, APIs, authentication systems, databases, payment platforms, and other enterprise applications.
Added 5 days ago
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Embedded C++ Software Engineer
Vertage
ON · Ontario, Canada
- Contract
…software layers that power next-generation automotive infotainment systems, including operating systems, kernels, device drivers, networking, graphics, USB, Wi-Fi, camera services, and…
Added 5 days ago
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Human Resources Manager
Lumentis
Belleville, ON
- Full-time
…delivers headlamps, tail lamps, signal, and ambient lighting systems from concept to series production. Lumentis combines expertise in optical engineering, electronics, and software to…
Added 5 days ago
UO
Mechanical Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
Added 5 days ago
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Senior Security Operations Analyst
BRP
Valcourt, QC
- Full-time
…incidents, maintaining security tools, and helping protect critical systems, networks, and data from cyber…
Added 5 days ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a Senior Data Developer (Engineer) to help build the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. This platform will…
Added 5 days ago
AT
Senior Software Developer
Air Trail
AB · Edmonton, AB
- Full-time
We’re looking for a talented and experienced Senior Software Developer to join this mission. This person will be a core member of our small team, and work directly with all aspects of our…
Added 5 days ago
GM
Senior QA (Candidate must know French)
Galactic Minds INC
Canada
- Contract
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into…
Added 5 days ago
T
Product Manager
TEEMA
Toronto, ON
- Full-time
Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
Added 5 days ago
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Software Engineer II
TD
Toronto, ON · Montreal, QC
- Full-time
Work with Business Analysts / Systems Analysts, other technology Developers / Solution Designers to ensure the configuration and custom components meet application requirements and…
Added 5 days ago
T
TDS Operations Analyst II, Client Enablement
TD
Toronto, ON
- Full-time
…settlement data across TD Securities trading and credit risk systems. We are a global team that embraces and leverages data in a transformation manner while raising standards in data…
Added 5 days ago
AE
Campus Undergraduate Summer Internship Program 2027 – International Card Services & Global Merchant Network Services – Toronto, Canada
American Express
Toronto, ON
- Full-time
Ability to analyze and interpret data using Microsoft Office tools, with the adaptability to learn new platforms and systems.
Added 5 days ago
Hotel Maintenance Manager
West Edmonton Mall Property Inc. (West Edmonton Mall & Fantasyland Hotel)
Edmonton, AB
…infrastructure, including heating, ventilation and air conditioning systems, plumbing, electrical systems, equipment, and building…
Added 5 days ago
Employment Consultant - Integrated Employment Services (Brampton)
ACCES Employment
Brampton, ON
Meet monthly statistical requirements and maintain professional and effective information tracking systems on all activities performed.

IT Accel, Inc.

AI/ML Platform Engineer – Containers & GPU Infrastructure - Canada

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Hybrid: 4 days onsite, 1 remote.

Type: Contract-to-Hire

About The Role

We're hiring a hands-on AI/ML Platform Engineer to build and run the infrastructure behind enterprise AI/ML services at a large financial services organization. The core of the job is building containers: writing, hardening and shipping container images and GPU-enabled workloads, then running them on Kubernetes, NVIDIA GPU infrastructure and Microsoft Azure.

This is not a DevOps-only role, and it is not model development. You'll build, operate, troubleshoot and improve the platform that data science and application teams depend on, inside a secure, regulated environment.

What You'll Do

Container Engineering & Kubernetes

Build, harden and maintain container images for AI/ML workloads, including GPU-enabled images with the correct NVIDIA driver and CUDA dependencies.
Manage images in registries with versioning, vulnerability scanning and lifecycle controls.
Deploy, scale and support containerized AI/ML services on enterprise Kubernetes clusters.
Allocate GPU resources across containers and clusters and keep them well used.
Troubleshoot container runtime, networking, storage, performance and orchestration issues.
Automate container provisioning, configuration and lifecycle management.
Partner with application and platform teams to deploy containerized AI/ML services.

GPU Infrastructure

Support bare-metal GPU servers used for training, inference and production workloads.
Install, configure and troubleshoot NVIDIA GPU drivers, CUDA and NVIDIA AI Enterprise software.
Monitor GPU utilization, availability, performance and allocation.
Resolve driver, container-compatibility and workload-performance issues.
Integrate GPU infrastructure with enterprise AI/ML platforms.

Azure AI/ML Platform

Design, build and maintain AI/ML platform services on Azure, including Azure AI services.
Build MLOps/AIOps pipelines for training and production models.
Support provisioning, administration, interoperability, disaster recovery and business continuity.
Troubleshoot Azure infrastructure, DNS, connectivity, NSGs and routing.
Help application teams use AI services to meet business goals.
Keep platform services within enterprise availability and performance targets.

Automation, IaC & CI/CD

Build platform automation with Python, Terraform, GitHub Actions, Azure CLI and the Azure Python SDK.
Maintain Infrastructure as Code using Terraform and ARM templates.
Build and maintain CI/CD pipelines for infrastructure, container images and AI/ML services.
Develop and consume APIs, SDKs and webhooks to connect orchestration platforms with enterprise systems.
Keep improving platform tooling and engineering practices.

Security & Compliance

Work with cloud, network, cybersecurity and risk teams to deliver secure AI/ML solutions.
Keep cloud and container infrastructure compliant with internal policy and regulatory requirements.
Apply Azure security controls: authentication, RBAC and data protection.
Support PKI and certificate management for cloud services and applications.
Identify and reduce risks across cloud infrastructure, containers and AI/ML workloads, including the secure deployment of models and data.
Take part in monitoring, incident resolution and operational support.

Required

Hands-on experience in cloud platform, infrastructure or AI/ML platform engineering.
Proven experience building container images (Docker or equivalent) and deploying containerized workloads.
Strong Kubernetes and container orchestration experience.
Experience supporting GPU infrastructure and GPU-enabled containers, including bare-metal servers, NVIDIA drivers and CUDA.
Familiarity with NVIDIA AI Enterprise.
Strong Microsoft Azure experience.
Proficiency in Python for scripting and automation.
Hands-on Terraform, IaC and CI/CD experience, including GitHub Actions and GitHub Runners.
Solid understanding of networking, DNS, routing, cloud connectivity and infrastructure security.
Working knowledge of model deployment and MLOps concepts.
Strong troubleshooting and problem-solving skills.
Able to work independently and with cross-functional teams.

Nice to Have

AI/ML infrastructure experience in a large enterprise or financial services organization.
Production experience running NVIDIA GPU infrastructure and GPU-enabled Kubernetes clusters.
Experience with GPU scheduling, utilization monitoring and performance tuning.
Hands-on NVIDIA AI Enterprise experience.
Experience with Azure AI services and enterprise AI/ML platforms.
Background in enterprise security, governance and regulatory compliance.
Experience in Agile/Scrum and DevOps environments.

Apply About employer

More about this job

Responsibilities

Build, secure, and operate containerized AI/ML services on Kubernetes, Azure, and NVIDIA GPU infrastructure, including GPU-enabled images and workloads. Automate platform provisioning and delivery, support MLOps pipelines, troubleshoot infrastructure, and maintain security, compliance, availability, and performance.

Requirements

Requires hands-on experience with container image engineering, Kubernetes, GPU infrastructure and NVIDIA drivers/CUDA, Microsoft Azure, Python, Terraform, and CI/CD. Candidates should also understand networking and infrastructure security, have working knowledge of model deployment and MLOps, and be able to troubleshoot independently and collaborate across teams.

Skills

Container Engineering
Kubernetes
GPU Infrastructure
NVIDIA Drivers And CUDA
Microsoft Azure
Python
Terraform
Infrastructure As Code
CI/CD
GitHub Actions
MLOps
Networking And DNS
Cloud Security
Container Vulnerability Scanning
GPU Scheduling And Performance Tuning
Incident Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Platform Engineering
Docker
Kubernetes
NVIDIA GPU Infrastructure
NVIDIA Drivers
CUDA
NVIDIA AI Enterprise
Microsoft Azure
Azure AI Services
Python
Terraform
ARM Templates
Infrastructure As Code
CI/CD
GitHub Actions
GitHub Runners
Azure CLI
Azure Python SDK
MLOps
AIOps
Container Registries
Vulnerability Scanning
GPU Scheduling
GPU Utilization Monitoring
DNS
Network Security Groups
Routing
RBAC
PKI
Disaster Recovery

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