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. Experience with cloud-based AI deployment (Azure, Amazon Web Services, Google Cloud Platform). Professional certifications in AI, NLP, machine learning, or cloud technologies. Experience with Azure AI Foundry
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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systems that power them. Creates and supports APIs and manages both SQL and NoSQL databases used for mapping and location-based data. Uses standard software design approaches to keep code organized
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experience Proficiency in one or more languages: Python, C#, JavaScript, or similar Experience with cloud services (Azure, AWS, or Google Cloud) Familiarity with REST APIs, databases (SQL/NoSQL), and identity
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risk mitigation. Develop decision-support tools (scripts, dashboards, APIs) that translate complex analyses into user-friendly insights for producers and advisors. Apply statistical learning/ML (e.g
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
datasets, with a focus on spatial analyses such as K-Nearest Neighbor (KNN) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration
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. Experience building or integrating with web APIs (REST/JSON) and working with common data formats. 4. Experience with other cloud AI platforms and services (AWS Bedrock, AWS SageMaker, Google Vertex AI, Google
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, or scripting, with proficiency in Python, JavaScript, or a similar language, applied to system integration, workflow automation, or platform support. Experience working with or supporting APIs, system
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Automated testing frameworks and methodologies API design and documentation Production deployment and monitoring Strong commitment to project-based learning and hands-on pedagogy Preferred Qualifications
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tool at: https://ausme.auburn.edu/ Essential Functions Assist with the development of new AUSME system features using Python. Work with MySQL to query, update, and maintain AUSME datasets. Support server