Job Title: Azure AI/ML Engineer Location: Toronto, ON (Hybrid) Duration: 6 Months of contract with possible extension Experience: 6–8 years Role Overview: We are seeking an experienced Azure Cloud Engineer with strong expertise in AI/ML solutions to design, develop, and deploy scalable cloud-based applications on Microsoft Azure. The role involves collaboration with cross-functional teams to deliver end-to-end machine learning solutions and optimize cloud infrastructure. Key Responsibilities: Azure AI / ML Engineering- Collaborate with data scientists, data engineers, developers, and business stakeholders to deliver AI-driven solutions Design and implement AI/ML solutions using: Azure OpenAI Azure Machine Learning Azure Cognitive Services (Vision, Language, Speech, Decision) Develop and deploy machine learning models using Python, R, or .NET Build end-to-end ML pipelines including: Data ingestion Model training & evaluation Deployment & monitoring Cloud Architecture & Development- Architect cloud-native AI/ML solutions using: Azure ML Workspaces Azure Functions Azure App Services Ensure solutions meet requirements for: Scalability Resiliency Performance Cost optimization Develop and integrate REST APIs and microservices Security & Governance- Implement Azure security best practices: Managed Identities Azure Key Vault Role-Based Access Control (RBAC) Ensure compliance with enterprise security standards Data Management- Work with relational and NoSQL databases: Azure SQL Cosmos DB Support data pipeline integration and optimization Support & Operations- Provide L2/L3 production support for Azure environments Troubleshoot and resolve production issues Support continuous improvement initiatives Document architecture, procedures, and operational runbooks

Technical Skills Required- Strong experience with Microsoft Azure Expertise in Azure AI/ML services Proficiency in Python (TensorFlow, PyTorch, Scikit-learn preferred) Hands-on experience with REST APIs and microservices Knowledge of SQL and NoSQL databases Good understanding of Cosmos DB Azure AI Engineer Associate (AI-102)

Good to Have Skills: Networking & Connectivity- Design and manage Azure networking: Virtual Networks (VNet), Subnets Network Security Groups (NSG) Azure Load Balancer Application Gateway Azure Front Door Troubleshoot network performance and connectivity

Security, Identity & Compliance- Understanding of enterprise-grade cloud security practices Identity management and compliance standards