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As a Microsoft Azure AI engineer, your responsibilities include designing, building, and deploying AI solutions on the Azure platform. You'll collaborate with stakeholders to understand business requirements, develop machine learning models, optimize algorithms, and ensure the scalability, security, and reliability of AI applications.
Azure AI engineers actively engage in the development of AI solutions by leveraging Azure services such as Azure Machine Learning, Cognitive Services, and Azure Databricks. They analyze data, preprocess datasets, train machine learning models, evaluate model performance, and deploy AI solutions using Azure resources and tools.
The phases in AI solutions development typically include requirement analysis, data collection and preprocessing, model selection and training, model evaluation and validation, deployment, and monitoring. Azure AI engineers are involved in each phase, ensuring that AI solutions meet business objectives and technical requirements.
Azure AI engineers collaborate closely with solution architects to translate project vision and requirements into technical solutions. They provide insights into AI capabilities, propose suitable AI algorithms and technologies, contribute to architectural design decisions, and implement AI solutions aligned with architectural principles and best practices. Together, they ensure that the final solution meets both functional and non-functional requirements.
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