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Skills and Responsibilities Understanding on Cosmos DB Technical Skills Azure
Robust 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 data stores (Azure SQL, Cosmos DB)
Azure AI Engineer Associate Certified (AI-102)
Good to have: Networking & Connectivity Design and manage Azure networking components: Virtual Networks (VNet), Subnets
Network Security Groups (NSG), Azure Load Balancer, Application Gateway, Azure Front Door
Troubleshoot network performance and connectivity issues: Security, Identity & Compliance
Collaboration & Support – work closely with application teams,



security teams, and architects
Provide L2/L3 production support for Azure environments
Participate in architecture reviews and cloud migration initiatives
Document architecture, procedures, and operational runbooks
Azure: collaborate with data scientists, data engineers, developers, and business stakeholders
Design and implement AI/ML solutions using Azure AI services such as Azure Open AI, 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

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📌 Azure Engineer (Ontario)
🏢 Tata Consultancy Services
📍 Ontario