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

3 weeks ago


Bangalore, India TAPMI Bengaluru Full time

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 (), 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



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