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

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.