Core Services Mid\-level Lisboa, Braga, Viana do Castelo An Azure AI Engineer, part of the Core Services team, is responsible for designing, developing, and deploying Artificial Intelligence solutions on the Azure platform, thereby enhancing our Artificial Intelligence domain. Key Responsibilities Participate in the architecture of software solutions based on C\#/.NET; Collaborate with cross-functional teams to understand business requirements and identify opportunities to leverage AI technologies; Design scalable and secure AI solutions on the Azure platform, integrating AI solutions with existing systems and applications; Develop, test, and deploy machine learning models using Azure Cognitive Services and related frameworks; Optimize and fine-tune machine learning models to improve performance and effectiveness; Regularly monitor and maintain deployed AI solutions; Ensure data security, privacy, and compliance with regulatory requirements; Collaborate with software engineers, data scientists, and other stakeholders to drive innovation and continuous improvement; Stay up to date with the latest technologies, best practices, AI trends, and Azure developments, providing suggestions/recommendations to enable technological innovation. **Stacks:** C\#, .NET, Azure, Azure Cognitive Services, Python Requirements Academic Background Bachelor's or Master’s degree in Information Technology Management and/or Computer Engineering. Technical Skills More than 2 years of experience with Cloud Azure and Azure Cognitive Services. Software Development Experience Proven experience in software development using C\# or .NET technologies. AI and Machine Learning Expertise Practical experience with Azure and Azure Cognitive Services, including Computer Vision, Natural Language Processing, and Speech Services, as well as proficiency in developing and deploying machine learning models using Azure Machine Learning or similar frameworks. Data Management Experience with data storage and retrieval using Azure services such as Azure Storage and SQL Database, along with familiarity with data preprocessing, feature engineering, and model evaluation techniques. Languages Fluency in English, both spoken and written.