Education Qualifications Required:

A graduate degree (master's degree or higher) in computer science, engineering, data science, information systems, or a closely related field is required .

Preferred:

Relevant AI, ML, data science, or cloud certifications (e.g., AWS, Azure, Google Cloud, or equivalent) are preferred.

Experience Qualifications Required:

At least three (3) years of professional experience in artificial intelligence, machine learning, data science, or cloud-based analytics. This includes experience building, deploying, or working with AI/ML models, tools, or workflows. At least two (2) years reaching, training, mentoring, or instructional support experience in technical or professional education settings. This may include e xperience teaching AI, ML, data science , or cloud computing in higher education, professional education, or corporate training environments.

Preferred:

Demonstrated willingness to stay current with emerging AI technologies, tools, and teaching strategies. Experience designing hands-on labs, projects, or case studies using platforms such as AWS, Microsoft Azure, Google Cloud, or open-source ML frameworks. Experience with online and/or in-person intensive training or education programs. Proficiency using Canvas or similar learning management systems. Relevant industry certifications and/or professional memberships. Remote Position This is a remote position, though preference may be given to individuals in or near Virginia. To Apply To apply, please submit an application online at https://jobs.virginia.edu and attach a current CV/Resume, Cover Letter, and the contact information for three references.

Search on requisition number:

R0084102

. Directions for Cover Letter Applicants should be explicit in the cover letter about 1) reason for their interest and 2) how their education and experience aligns with the required and preferred qualifications list above. Organizing the cover letter by the education and experience qualifications would be most helpful. Additional Information Questions related to the application process may be directed to Dr. Kai Degner, SCPS Senior Director of Certificate Programs, at kai.degner@virginia.edu. The University will perform background checks on all new hires prior to employment. This position will also require educational verification. The job may occasionally require traveling some distance to attend meetings and programs. Additional Information Wage Faculty and all personnel actions associated with them are governed and approved by the EVPP and policy

PROV-026

Faculty Wage Employment . Faculty wage appointments are subject to change and carry no expectation of renewal from year to year. Faculty wage employment is usually less than 0.5 FTE (teaching fewer than 6 credits or the equivalent of no more than 19 hours per week); is offered for only one or two semesters at a time; and applies to faculty members paid solely via Period Activity Pay. Wage Faculty (Adjunct) positions are at-will and come with no expectation of renewal, and are not eligible for leave or other benefits. Because of the significant disciplinary differences between schools, specific employment expectations vary by school and are described in local school policies. Schools may have additional expectations of Wage Faculty who have other documented responsibilities. Physical requirements of faculty will vary, but may include some or all of the following: traveling to and from work location, other UVA or UVA Health facilities, or to other locations in the U.S. or abroad for meetings or research; using computers, specialized equipment, and other technologies; remaining stationary, moving, bending, lifting, and reaching; performing procedures using fine motor skills; communicating effectively, in writing, in person, in the classroom, online, and in clinical settings; and interacting with others such as colleagues, other academic and medical peers, students, patients, and the public. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. 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