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Senior Cloud Engineer - AI/ML

Toronto, ON, CA • Posted 13 hours ago • Updated 13 hours ago

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Job Details

Skills

Agile
Artificial Intelligence
Banking
Cloud Architecture
Cloud Computing
Cloud Security
Collaboration

Summary

We are looking for Senior Cloud Engineer - AI/ML for our client in Toronto, ON

Job Title: Senior Cloud Engineer - AI/ML

Job Location: Toronto, ON

Job Type: Contract

Job Overview:

We are seeking a Senior Cloud Engineer with expertise in AI/ML to design, implement, and scale cloud-based machine learning platforms.
The ideal candidate will lead AI/ML service enablement, build MLOps pipelines, and ensure secure, compliant, and efficient deployment of AI solutions across cloud environments.

Responsibilities:

Evaluate and enable AI/ML services across cloud platforms through proof-of-concepts and technical assessments.
Design and implement reusable architectural patterns for secure AI/ML integrations.
Build end-to-end MLOps platforms and automated pipelines for model lifecycle management.
Develop infrastructure-as-code frameworks and automation to accelerate AI/ML adoption.
Produce technical documentation covering security, networking, compliance, and cost analysis.
Implement observability solutions including model monitoring, metrics, and drift detection.
Collaborate with enterprise architecture and stakeholders to align solutions with strategic goals.
Provide technical leadership and mentorship on cloud and AI/ML best practices.

Requirement/Must Have:

5 7 years of cloud engineering experience with at least 3 years focused on AI/ML platforms.
Strong hands-on expertise with cloud-based AI/ML services.
Experience building MLOps platforms and automated ML pipelines.
Strong knowledge of LLM lifecycle management, agent-based AI, retrieval-augmented generation, and prompt engineering.
Experience implementing governance and guardrails for AI/ML systems.
Proficiency in Python and infrastructure-as-code tools.
Experience with model tracking and registry tools.
Strong understanding of cloud security patterns including network isolation and encryption.
Experience with cloud networking architecture in regulated environments.
Experience working in compliance-driven industries.
Experience working in Agile environments.

Should Have:

Cloud AI/ML certifications.
Experience with vector databases and embedding models.
Knowledge of model optimization and inference acceleration.
Experience in financial services or banking domains.

Skills:

Cloud architecture and AI/ML engineering.
MLOps and pipeline automation.
Infrastructure as code and cloud security.
Model monitoring and observability.
Data engineering and AI integration.

Qualification And Education:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: ON_SCEA_0504
Posted 13 hours ago

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