Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming Position Title & Department: Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming Posting # 5233 University Description: The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges . Detailed Description: The University of San Diego's Professional and Continuing Education department is seeking an adjunct faculty member with mastery in the application of artificial intelligence for coding and programming for business solutions. This role involves teaching and developing online courses as part of our Artificial Intelligence for Business Solutions program. The program includes twelve courses, each worth 1 unit. Courses are delivered in an online, self-paced format, with students having six months to complete each four-week course. Job Duties and Responsibilities: Teaching: Delivering course content, assessing student progress through formal and informal assessments, holding office hours, meeting deadlines for submitting grades and attendance, and adhering to safety procedures and departmental standards. Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials. Work Mode: Entirely remote Work Schedule: Online as needed Background check: Successful completion of a pre-employment background check. Degree Verification Requirement : Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes. Job Requirements: Specific Required Skills: Proficiency in programming languages such as Python, Java, and R. Expertise in machine learning algorithms and data structures. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI solutions. Strong analytical and problem-solving skills. Familiarity with data preprocessing and visualization techniques. Understanding of ethical considerations in AI and data privacy. Required Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming languages such as Python, Java, and R). Working knowledge of generative AI techniques. Minimum of two years of full-time professional experience in AI, coding, and programming. Preferred Qualifications: Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis. Cloud computing experience. Familiarity with the Canvas learning management system. Eligibility: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Posting Salary: $40-44/hour The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget. Special Application Instructions: Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers' review. Contact: Andrew Drotos, [email protected] If you have any technical questions or difficulties please contact the Employment Services Team at [email protected] .