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Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions
Adjunct Faculty/Developer- Artificial Intelligence for Business SolutionsUniversity of San Diego • San Diego, CA, US
Adjunct Faculty / Developer- Artificial Intelligence for Business Solutions

Adjunct Faculty / Developer- Artificial Intelligence for Business Solutions

University of San Diego • San Diego, CA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Duties

and Responsibilities :

Teaching responsibilities include teaching, assessing student progress in meeting the learning objectives through formal and informal assessment, holding office hours, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards.  Development responsibilities include working with the Learning Design Team to create and develop the course in our learning management system while meeting agreed upon deliverable dates.

Work Mode : This position is entirely remote.

Work Schedule : Online as Needed

Special Conditions of Employment :

Effective June 1, 2023, based on CDC guidance, the University strongly encourages all campus members to stay up to date with Influenza and COVID-19 vaccination recommendations.  For more regarding information USD's COVID-19 protocols, please visit sandiego.edu / onward.

Background check :   Successful completion of a pre-employment background check.

Job Requirements :

Required Qualifications :

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. (Such as mathematics; with an emphasis on algorithms, data structures, and programming languages like Python.)  Working knowledge of generative AI techniques, such as GANs and VAEs is a plus.  A minimum of two (2) years of full-time professional experience in these areas is required.

Preferred Qualifications :

Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data Analysis preferred.

Experience with the Canvas learning management system is a plus.

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