Job Title

Visiting Faculty for the MBA Technology Management ProgramPosition Title: Visiting FacultyCourse: Artificial Intelligence and Machine Learning, MBALocation: Yelahanka, Bangalore, KarnatakaMode: On Campus, no online classesDuration: One Term of a Trimester (extendable based on academic needs and performance) 20th October 2025 to 31st December 2025Course Overview The course inArtificial Intelligence and Machine Learningaims to provide management students with a comprehensive understanding of modern AI and ML methods and their business applications. The course combines theoretical underpinnings with hands-on learning through programming, case studies, and applied projects. Key focus areas include: Fundamentals of AI and ML algorithms Supervised and unsupervised learning techniques Deep learning and neural networks Business problem-solving using AI/ML Model evaluation, deployment, and ethical considerationsKey Responsibilities Design and deliver lectures, tutorials, and hands-on sessions on AI/ML concepts and applications Integratebusiness and management contextinto technical topics to suit MBA and postgraduate students Develop case studies, datasets, and simulation-based exercises Mentor students on AI/ML projects and practical applications Collaborate with TAPMI faculty on course design, assessment, and AACSB/AoL requirements Contribute to guest lectures, workshops, and research/consulting initiatives related to data-driven decision-makingQualifications Essential: Master’s degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related field Demonstrated expertise in AI/ML, with teaching or corporate training experience Proficiency in Python, R, or equivalent programming environments for machine learning Desirable: Industry or research experience in applying AI/ML in business or management contexts Strong publication or consulting record in applied AI/ML domains Familiarity with deep learning frameworks such as TensorFlow, Keras, or PyTorchSkills and Competencies Ability to simplify complex technical concepts for management students Strong communication and classroom engagement skills Ability to bridge theory with real-world applications Collaborative mindset and commitment to academic excellenceRemuneration Compensation will becommensurate with qualifications, experience, and profile , and in line with TAPMI’s norms for visiting faculty.Application Process Interested candidates may send their applications toProf. Deepak A S (), Analytics Area Chair,with the subject line:“Application – Visiting Faculty (Artificial Intelligence and Machine Learning)” The application should include: Detailed CV (with academic, teaching, and industry experience) List of two professional references