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Added 4 days ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
…activities, disaster recovery processes, and awareness of emerging cybersecurity trends and best…
Added 4 days ago
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Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure…
Added 4 days ago
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Forensic & Dispute Services  Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC · Quebec, QC
- Full-time
Proficiency in data analytics and visualization platforms such as Alteryx, Power BI, Python and Microsoft would be an asset
Added 4 days ago
AI Engineer
Eclipse Automation
Cambridge, ON
Build backend APIs, services, workers, and integration components using Python and one or more of .NET/C# or Node.js.
Added 4 days ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Hands on scripting skills (python, ruby, perl, etc.)
Added 4 days ago
TE
Intern, Enterprise Security - Detection & Response
TC Energy
Calgary, AB
- Full-time
We are seeking a Student Intern to support cybersecurity operations, threat detection, incident response, and cyber threat intelligence activities that help protect critical business…
Added 4 days ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 4 days ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
…vital tech support to healthcare professionals to strengthening cybersecurity and developing scalable digital platforms, you’ll play a key role in building a more inclusive, responsive…
Added 4 days ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $75,000 to $246,000 CAD / year
- Full-time
…operations, threat intelligence, and a people-first approach to…
Added 4 days ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON
- $75,000 to $246,000 CAD / year
- Full-time
…operations, threat intelligence, and a people-first approach to…
Added 4 days ago
MP
Senior Security Analyst
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
A college diploma or university degree in Computer Science, Cybersecurity or a related field
Added 4 days ago
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Penetration Testing and Red Team
Zoho
Toronto, ON
- Contract
· Support security engineering initiatives by solving complex technical challenges requiring both development and cybersecurity expertise.
Added 4 days ago
IA
AI/ML Platform Engineer – Containers & GPU Infrastructure - Canada
IT Accel, Inc.
Toronto, ON
- Full-time
Build platform automation with Python, Terraform, GitHub Actions, Azure CLI and the Azure Python SDK.
Added 4 days ago
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Contact Center Consultant
HCLTech
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
…businesses through digital transformation, cloud, engineering, cybersecurity, artificial intelligence, software, and IT infrastructure services. Headquartered in India, HCLTech serves…
Added 4 days ago
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Senior Security Operations Analyst
BRP
Valcourt, QC
- Full-time
The Senior Security Operations Analyst is responsible for monitoring, detecting, investigating, and responding to cybersecurity threats across the organization’s IT environment. This role…
Added 4 days ago
ME
Cloud Engineer
Morson Edge (Canada)
Oshawa, ON · Greater Oshawa Metropolitan Area
- Contract
Programming & Scripting: Develop and maintain infrastructure automation using programming and scripting languages such as .NET, Node.js, Java, Bash, PowerShell, Go, or Python.
Added 4 days ago
ES
AI security research engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 4 days ago
Z
Penetration Testing/ Red Team Engineer
Zoho
Toronto, ON
- Contract
· Support security engineering initiatives by solving complex technical challenges requiring both development and cybersecurity expertise.
Added 5 days ago
A
Senior AI and Agentic Developer
Accenture
Toronto, ON
- Full-time
As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business…
Added 5 days ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
We’re building a new category of cybersecurity, and we’re looking for exceptional talent to help us bring it to market.
Added 5 days ago
TE
Operations Intelligence & Analytics Specialist
TC Energy
Calgary, AB
- Full-time
Working with Operations, Asset Compliance, Engineering, Finance, IT, and Cybersecurity, you will draw on data shared across the business. The initial focus is operational and…
Added 5 days ago
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Senior Auditor, Operations | Contract Until March 2028
lululemon
Vancouver, BC
- Full-time
Basic understanding of technology, cybersecurity and data analytics and knowledge of regulatory frameworks (e.g., SOX, PCI-DSS, GDPR, NIST, ISO 27002).
Added 5 days ago
L
Senior Auditor, Technology | Contract Until March 2028
lululemon
Vancouver, BC
- Full-time
Evaluating the design and operating effectiveness of IT controls related to areas such as cybersecurity, access management, data protection, change management, and cloud computing.
Added 5 days ago
C
Senior Program Manager – AI Security Research
Centraprise
Toronto, ON
- Contract
Cybersecurity Research & Application Security
Added 5 days ago
A
Senior Java Software Engineer
Altis
Ottawa, ON
- $80 to $85 CAD / hour
- Contract
We are seeking an experienced Senior Java Developer to support a federal government initiative focused on strengthening Canada's cybersecurity capabilities. You'll contribute to the…

IT Accel, Inc.

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

Toronto, ON, Canada

Full-time

Apply About employer

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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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