Consultant - WTS

-Design and develop scalable, secure, and high-performing AI-powered applications and services on the Microsoft Azure cloud platform, with a focus on Azure PaaS services-Assess new AI, cloud, and .NET technologies, and develop strategies for integrating them into the organization's technology stack-Provide technical leadership and guidance to cross-functional teams on the implementation of AI, .NET, and cloud solutions-Collaborate with data scientists, software engineers, and business stakeholders to define and deliver AI-driven business solutions using Python and .NET-Ensure the reliability, scalability, and cost-effectiveness of the AI and cloud infrastructure, including API integration-Stay up-to-date with the latest trends and best practices in AI, cloud computing, .NET development, and software architecture

Requirements

-5+ years of experience in software architecture, with a focus on building AI-powered applications and services using Azure PaaS and .NET-Extensive knowledge of Microsoft Azure services, including Azure Cognitive Services, Azure Machine Learning, Azure Functions, Azure App Service, and Azure SQL Database-Proficient in programming languages such as Python, C#, and TypeScript, and experience with frameworks like FastAPI, Flask, and Azure SDK-Strong understanding of AI and machine learning concepts, including model training, deployment, and optimization-Experience in designing and implementing secure, scalable, and highly available cloud-native architectures using Azure PaaS services-Proficiency in .NET development, including ASP.NET, WCF, and Web API, and experience with Python for data science and machine learning tasks-Knowledge of API design, implementation, and integration using Azure API Management-Excellent problem-solving skills and the ability to work collaboratively in a team environment-Strong communication and presentation skills to effectively convey technical concepts to both technical and non-technical stakeholders