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a focus on web technologies. Minimum 6 years of professional experience in full-stack api-driven application development, including familiarity with front-end and back-end technologies Demonstrated
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, implement, and maintain scalable and secure front-end and back-end components for cloud-native and on-premise NLP applications. Develop intuitive UIs for medical professionals, robust APIs, and efficient
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, interfaces, and controllers such as, but not limited to, the Neve 88RS; SSL Duality SE; API Legacy Plus and 1608; Avid HDX systems, S3, S6, XMon, MTRX, Artist Control and Artist Mix Ability to function well
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the major cloud providers (i.e. Amazon Web Services, Microsoft Azure, Google Cloud Platform) Advanced experience in installing, managing, updating, and troubleshooting Linux and Windows-based systems
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, and governance throughout Microsoft Fabric environments. Documentation - 10 Document data processes and workflows. API Integration - 10 Integrate and manage APIs to facilitate data exchange between
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research and/or development. Strong technical skills. Including experience with TensorFlow and/or PyTorch, API integration, and software development frameworks, and pipelines. Experience with deep learning
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hands-on labs, including secure system design, deployment pipelines, and API development. ● Create clear, succinct, and measurable outcomes for the course. ● Identify, sequence, and structure the topics
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recording/mixing consoles, interfaces, and controllers such as, but not limited to, the Neve 88RS; SSL Duality SE; API Legacy Plus and 1608; Avid HDX systems, S3, S6, XMon, MTRX, Artist Control and Artist Mix
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user-friendly solutions. By working closely with AI educators, researchers, and student innovators, the Software Engineer will develop APIs, frameworks, MCP integrations, and automation that make AI
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relational database systems, such as MySQL, Oracle or MS SQL Server Experience using and creating REST APIs Experience with Git source control Familiarity with iterative development practices, such as Agile