37 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Illinois at Urbana Champaign in United States
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-premises environments, creating secure, scalable code and backend services that align with system-wide privacy, security, and accessibility standards. The AI Developer configures monitoring of AI solutions
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experience in an in institutional or medical setting. Knowledge, Skills and Abilities: Knowledge of federal codes and regulations, State statutes, City of Urbana & Champaign municipal ordinances, University
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policies, procedures, and guidance documents applicable to the work of the Connie Frank CARE Center, including Student Code policies §1-501: Class attendance, §2-102: Mandated Assessment, §2-105: Policy and
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. Monitors work to assure compliance with prevailing codes and University Building Standards, as well as correct procedures and techniques. Is responsible for tools, equipment and materials assigned for use
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systems. Experience with cloud AI platforms and services (e.g., Azure AI Services, Google AI Studio, Google Vertex, AWS Bedrock, AWS SageMaker), low-code/no-code automation tools, or enterprise RPA
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accounts (cfops) funded from many different funding sources with different policies and procedures. Independently coding transactions, which requires extensive knowledge of the university system, as
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buildings and facilities by conducting audits of the facilities to document current conditions and compliance with life safety and building codes, advise the director of the statuses and make recommendations
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enforcement action resulting in Illinois Vehicle Code citation, Departmental written warning; Make the scene of traffic accidents safe by taking verbal and physical action, and administering first aid; Conduct
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(WordPress, Drupal), with an understanding of how templates and modules generate code and how site themes are separated from content. Skilled in using automated accessibility evaluation tools and applying
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to ensure analytic-ready datasets, secure data pipelines, and proper documentation. • Guide data cleaning, variable construction, coding, and data integrity checks. • Ensure fidelity to data governance