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Tier-1 brand, mid-level generalist role, metro location, and broad skill demand increasing competition.
Azure/.NET and GenAI skills partly transferable across industries but show notable platform-specific bias.
Multiple mandatory skills (Azure, .NET, TypeScript, AKS, LLMs) and explicit years requirement tighten shortlisting.
Develop and deploy AI-powered solutions using Microsoft Azure, specializing in Azure AI Services, Cognitive Services, and Kubernetes deployments (AKS).
Migrate legacy enterprise applications to microservice architecture with data migration, ensuring smooth integration and collaboration with multiple teams.
Implement and integrate AI solutions with Microsoft technologies such as .NET framework, Microsoft Teams, and Microsoft Graph API, focusing on NLP and Large Language Models (LLMs).
3-7 years of experience in Microsoft Azure AI Services, Azure Cognitive Services, and Azure Kubernetes Service (AKS).
Proficiency in TypeScript and C#, with experience in Microsoft .NET framework application development.
Educational qualification: B.E. / B.Tech / MBA (full-time, regular mode without backlogs).
Mandatory skills: Microsoft Azure and Microsoft full stack engineer expertise.
Experienced in AI/ML frameworks like Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and Azure ML services.
Hands-on with data engineering involving structured and unstructured data using Azure Data Factory, Azure SQL Database, and Azure Blob Storage.
Capable of prioritizing tasks, coordinating across teams, and delivering AI model deployments integrated with Microsoft technologies.