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VDart Inc
Senior Cloud Engineer – MLAI PlatformVDart Inc • Toronto, Ontario, Canada
Senior Cloud Engineer – MLAI Platform

Senior Cloud Engineer – MLAI Platform

VDart Inc • Toronto, Ontario, Canada
4 days ago
Job type
  • Full-time
Job description

Role: Senior Cloud Engineer ML/AI Platform

Location: Toronto ON
Contract

About the Role

We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services build reusable architectural patterns and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure compliant solutions that accelerate AI adoption across the organization.

What You Will Do

  • Evaluate and enable AWS and Azure AI/ML services (SageMaker Bedrock Azure OpenAI Azure AI Foundry) through proof-of-concepts and comprehensive assessments
  • Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints customer-managed keys and service-to-service authentication
  • Build end-to-end MLOps platforms and automated ML pipelines for model training evaluation deployment and monitoring
  • Produce technical reports on security networking compliance guardrails and cost analysis for AI/ML service enablement
  • Develop frameworks infrastructure-as-code and automation to accelerate AI/ML adoption
  • Implement observability solutions with model monitoring metrics and drift detection
  • Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps
  • Provide technical leadership and mentorship on AI/ML cloud best practices

What You Need to Succeed

Must Have

  • 5 7 years of cloud engineering experience with 3 years focused on AI/ML platforms
  • Deep hands-on expertise with AWS AI/ML services: SageMaker (training pipelines inference JumpStart) Bedrock
  • Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning Azure OpenAI Azure AI Foundry
  • Experience building MLOps platforms and automated ML pipelines
  • Strong knowledge of LLMOps LLM lifecycle management agentic AI RAG (retrieval-augmented generation) and prompt engineering
  • Experience implementing guardrails and governance for LLM services
  • Proficiency in Python and infrastructure-as-code (Terraform CloudFormation ARM/Bicep)
  • Experience with MLflow (or similar tool) experiment tracking and model registries
  • Expertise in cloud security patterns including private endpoints customer-managed keys and network isolation for AI/ML services
  • Strong understanding of cloud networking architecture in regulated environments
  • Experience working in highly regulated industries with compliance requirements
  • Agile delivery experience.

Nice to Have

  • AWS or Azure AI/ML certifications
  • Experience with vector databases and embedding models
  • Knowledge of model optimization and inference acceleration
  • Background in financial services or banking

Employment Type : Full Time
Experience: years
Vacancy: 1
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Senior Cloud Engineer – MLAI Platform • Toronto, Ontario, Canada

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