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Job Description & How to Apply Below
Senior Azure AI Infrastructure Engineer
Location:
Toronto, Ontario
Duration: 6 months Introduction
We are seeking a skilled engineer with expertise in cloud infrastructure and AI services to join our dynamic team in Toronto. This role involves working on cutting-edge projects involving Azure technologies and AI solutions.
RequiredSkills & Qualifications
- Proficiency with CDKTF and Terraform for Azure infrastructure
- Hands-on experience with Azure AI Services, including OpenAI, Cognitive Services, and Machine Learning
- Strong skills in TypeScript and Python for infrastructure as code
- Experience with Azure Core Services such as VNet, Storage, App Services, Key Vault, and application configuration
- Knowledge of Dev Ops practices, including CI/CD pipelines, Azure Dev Ops, Git Hub Actions, and Docker
Skills & Qualifications
- Experience with Azure Data Services, including Cosmos DB, Data Factory, SQL Managed Instance, and Synapse Analytics
- Experience in creating reusable CDKTF constructs and modules
- Familiarity with ML Ops practices for machine learning model deployment and management
- Design, develop, and maintain infrastructure as code using CDKTF for Azure AI services and data platforms
- Implement automated deployment pipelines for AI and data infrastructure
- Provision and configure Azure AI services, including Azure OpenAI Service and large language models
- Document and manage Azure Cognitive Search and ML Ops pipelines
- Ensure networking, security, and compliance for AI services
- Inclusive and diverse work environment
- Opportunities for professional growth and development
- Comprehensive benefits package
For immediate consideration please click APPLY to begin the screening process with Alex. For immediate consideration please click APPLY.
Position Requirements
10+ Years
work experience
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