Faculty – Artificial Intelligence & Machine Learning

Job Description: We are seeking enthusiastic and experienced faculty members for the Artificial Intelligence & Machine Learning (AI & ML) Department. The role involves teaching undergraduate and postgraduate students, developing curriculum content, mentoring students, and contributing to departmental research and academic excellence. The ideal candidate will have a solid foundation in AI/ML algorithms, data science, and related programming tools, with a flair for research and innovation in the field. Qualifications: B.E/B.Tech and M.E/M.Tech in Computer Science, Data Science, AI & ML, or a related field from a recognized institution. Ph.D. preferred, but not mandatory for this role. Experience: Minimum 4 years of teaching, research, or relevant industry experience in the domain of Computer Science, AI/ML, or Data Science. Roles and Responsibilities: Deliver lectures, practicals, and workshops in Computer Science, Artificial Intelligence, Machine Learning, and Data Science. Develop and revise course content to align with the latest industry trends and technologies. Supervise student projects, research, and capstone assignments. Engage in academic research and publish papers in reputed journals and conferences. Participate in curriculum design, department meetings, and institutional committees. Facilitate student development through mentoring, seminars, and technical events. Collaborate with industry and academic partners for knowledge sharing, internships, and placements. Skills and Competencies: Hands-on experience in programming languages such as Python, R, Java, and tools like TensorFlow, Keras, Scikit-learn, etc. Good knowledge of data structures, algorithms, and cloud platforms. Proficiency in data analysis, data visualization, and real-time application development. Strong communication and classroom engagement skills. Ability to work in interdisciplinary teams and contribute to academic innovation. Job Types: Full-time, Permanent Schedule: Day shift Morning shift Work Location: In person