Adjunct Professor of Applied AI, Machine Learning & Digital Systems jobs in United States
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Bright Path Technology · 7 hours ago

Adjunct Professor of Applied AI, Machine Learning & Digital Systems

Quantum Institute of Science and Technology is seeking an Adjunct Professor of Applied AI, Machine Learning & Digital Systems to deliver instruction across their Digital Engineering and Digital Business programs. This role involves teaching machine learning, software systems, and business-facing AI applications in a practical learning environment.

Information ServicesInformation Technology
Hiring Manager
Syed Tasin Ahmed, P.E.
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Responsibilities

Deliver approximately 40 hours of live instruction per cohort
Facilitate applied exercises, discussions, and case studies
Guide students through projects and capstone work
Provide optional office hours or mentoring based on instructional approach
Collaborate with academic leadership to ensure instructional quality and curriculum alignment

Qualification

Machine LearningDigital SystemsSoftware Development Life CyclePythonAgile methodologiesQA AutomationAI for businessMentoring adult learnersTeaching experienceCommunication skills

Required

Master's degree in Machine Learning, Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related field
Demonstrated ability to teach or apply machine learning and digital systems concepts
Strong communication skills with both technical and non-technical audiences

Preferred

Prior teaching or adjunct faculty experience
Industry experience in AI/ML, software engineering, QA automation, product, or digital transformation roles
Experience mentoring adult learners and career changers
Familiarity with applied, project-based or capstone-driven learning models

Benefits

Spot and performance-based bonuses may be available based on instructional quality, student outcomes, and program needs

Company

Bright Path Technology

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Bright Path Technology is a full-stack IT consulting firm as well as a coding academy started by an American software entrepreneur in 2013.

Funding

Current Stage
Early Stage
Company data provided by crunchbase