IT Faculty – Computing, Software Development, AI & Data Science

• Deliver lectures, practical sessions, tutorials, and workshops in Computing and IT-related subjects. • Teach programming, software development, mobile application development, web design and development, database management, AI, and data science, based on expertise. • Prepare lesson plans, presentations, practical exercises, coding activities, and project-based learning materials. • Demonstrate the practical application of programming languages, development frameworks, data analysis libraries, and relevant software tools. • Guide students in developing web applications, mobile applications, database solutions, and data-driven projects. • Introduce students to AI and machine learning concepts, data analysis techniques, and emerging technologies. • Design and evaluate assignments, practical assessments, projects, and examinations, providing timely and constructive feedback. • Monitor student attendance, academic progress, and performance, and provide appropriate academic support. • Maintain academic records, grades, and attendance through institutional SIS and LMS platforms. • Ensure compliance with curriculum requirements, academic regulations, assessment procedures, and quality standards. • Contribute to curriculum enhancement, assessment moderation, faculty development, and institutional academic activities. • Stay updated with current technologies, development tools, and industry practices relevant to Computing and IT. • Undertake additional academic and administrative responsibilities assigned by Academic Management. • Master's degree in Computer Science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, or a related discipline. • Practical proficiency in Python, including libraries such as NumPy and pandas for numerical computing, data manipulation, and analysis. • Knowledge of AI and machine learning fundamentals, data preprocessing, model development, and relevant Python-based tools. • Knowledge of Kotlin and experience in Android or other mobile application development technologies and frameworks. • Skills in HTML, CSS, JavaScript, responsive web design, front-end development, and relevant web development frameworks. • Knowledge of relational databases, SQL, database design, data modelling, normalization, queries, and database management systems. • Understanding of software development principles, application design, debugging, testing, version control, and project development practices. • Ability to develop and demonstrate working applications, coding exercises, database solutions, and data analysis projects. • Strong presentation, classroom delivery, technical explanation, and student engagement skills. • Ability to evaluate practical assignments, guide student projects, identify learning gaps, and provide constructive feedback. • Familiarity with Learning Management Systems (LMS), Student Information Systems (SIS), and educational technologies. • Strong analytical thinking, problem-solving, teamwork, organization, adaptability, and commitment to continuous professional development. • Ability to integrate current technologies, practical case studies, and industry-relevant applications into teaching.