Azure Cloud AI / ML Engineer | Scarborough, ON

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 • 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. • 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. Seniority Level Mid‑Senior level Employment Type Contract Job Function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr