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learning, administration, and healthcare. UIT is embarking on a long-term strategy to plan, replace, and implement new cloud-based solutions for several enterprise-wide systems. UIT seeks an experienced
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systems to emerging AI tools -- affects physician decision-making, and to develop new measures of provider productivity. The work involves large-scale EHR data in cloud environments (Google Cloud Platform
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), Transformer-based modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio
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preservation of records of enduring value and associated metadata during systems and cloud storage transitions. * Develop, contribute to, and maintain local documentation on describing and accessioning digital
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handouts, grants, conferences, and seminars, which may perform editing and fact checking. * Assistance with program outreach and cloud-based video conferencing platform (e.g., Zoom set up and support). * The
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: Worked with at least one vector/search tech (e.g., Pinecone, OpenSearch/Elasticsearch, FAISS, Milvus) and basic embedding workflows. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock