Azure: Collaborate with data scientists, data engineers, developers, and business stakeholders Design and implement AI/ML solutions using Azure AI services such as: Azure OpenAI Azure Machine Learning Azure Cognitive Services (Vision, Language, Speech, Decision) Develop and deploy ML models using Python, R, or .NET Build end-to-end ML pipelines including data ingestion, training, evaluation, deployment, and monitoring Architect cloud-native AI solutions leveraging: Azure ML Workspaces Azure Functions Azure App Services Ensure scalability, resiliency, performance, and cost optimization Implement Azure security best practices: Managed identities Key Vault Role-Based Access Control (RBAC) Support production issues and continuous improvement initiatives Understanding on Cosmos DB