Azure Cloud AI/ML Engineer | Scarborough, ON

Job title :-Azure Cloud Engineer

Location:-Scarborough, ON

Job Summary:

• We are seeking an experienced Cloud Azure Engineer with strong expertise in CI/CD pipeline automation, application development, and a solid understanding of AI/ML integration within cloud environments.
• The ideal candidate will design, implement, and manage scalable Azure cloud solutions, ensuring seamless deployment and operational excellence while enabling AI-driven innovations.

Key Responsibilities:

• Cloud Infrastructure & Deployment
• Design, implement, and maintain Azure cloud infrastructure using best practices for scalability, security, and cost optimization.
• Automate provisioning and configuration using Azure DevOps, Terraform, or ARM templates.

CI/CD Pipeline Management:

• Build, maintain, and optimize CI/CD pipelines for seamless integration and delivery across environments.
• Implement continuous testing, monitoring, and deployment using Azure DevOps, GitHub Actions, or Jenkins.
• Ensure smooth code deployments and rollback mechanisms with version control (Git).

Coding & Development:

• Develop and maintain scripts, automation tools, and integrations using Python, PowerShell, or C#.
• Collaborate with developers to containerize and deploy applications using Docker and Kubernetes (AKS).

AI & Data Integration:

• Support integration of AI/ML models into cloud-based applications using Azure Machine Learning, Cognitive Services, or OpenAI Service.
• Work closely with data and AI teams to enable secure model deployment and monitoring in production.

Monitoring & Security:

• Implement monitoring, alerting, and performance optimization using Azure Monitor, Log Analytics, and Application Insights.
• Ensure compliance with security standards, manage access control, and enforce DevSecOps best practices.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6+ to 9 years of experience in Azure Cloud Engineering or related roles.
• Hands-on experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).
• Strong scripting/coding skills in Python, PowerShell, or C#.
• Familiarity with Docker, Kubernetes, and microservices architecture.
• Understanding of AI/ML workflows and tools (Azure ML, Cognitive Services, APIs).
• Experience with monitoring, logging, and troubleshooting in cloud environments.
• Preferred Qualifications:
• Azure certifications (e.g., AZ-104, AZ-204, or AZ-400).
• Experience integrating AI models into production environments.
• Exposure to GitOps and DevSecOps methodologies.
• Knowledge of REST APIs, event-driven architectures, and serverless computing (Azure Functions, Logic Apps).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work in an agile, fast-paced environment.