Visiting Faculty for the Course : Artificial Intelligence and Machine Learning, MBA

Visiting Faculty for the MBA Technology Management Program

Position Title : Visiting Faculty

Course :

Artificial Intelligence and Machine Learning, MBA

Location :

Yelahanka, Bangalore, Karnataka

Mode :

On Campus, no online classes

Duration :

One Term of a Trimester (extendable based on academic needs and performance)

20th October 2025 to 31st December 2025

Course Overview

The course in

Artificial Intelligence and Machine Learning

aims 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 considerations

Key Responsibilities

Design and deliver lectures, tutorials, and hands-on sessions on AI / ML concepts and applications

Integrate

business and management context

into 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-making

Qualifications

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 PyTorch

Skills 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 excellence

Remuneration

Compensation will be

commensurate with qualifications, experience, and profile , and in line with TAPMI’s norms for visiting faculty.

Application Process

Interested candidates may send their applications to

Prof. Deepak A S (deepak.as@manipal.edu), 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