Key Skill
Roles & Responsibilities
- Deliver undergraduate and/or postgraduate courses in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Data Analytics, and related subjects.
- Prepare lesson plans, course materials, assignments, and assessment methodologies as per university guidelines.
- Conduct practical sessions, laboratory work, and project guidance for students.
- Mentor students in academic, technical, research, and career development activities.
- Encourage innovation, research publications, patents, and participation in technical competitions.
- Guide students in industry-oriented projects, internships, and emerging technology applications.
- Contribute to curriculum development and continuous improvement of teaching-learning processes.
- Organize workshops, seminars, FDPs, guest lectures, and technical events.
- Participate in accreditation, academic administration, admissions, and institutional development activities.
- Maintain academic records and ensure compliance with university and regulatory requirements.
Required Qualifications
- B.E./B.Tech and M.E./M.Tech in Computer Science Engineering, Artificial Intelligence, Data Science, Information Technology, or related disciplines.
- Ph.D. in a relevant field is preferred as per AICTE/RGPV/UGC norms.
- Strong academic background with good communication and presentation skills.
Technical Skills
Knowledge of one or more of the following areas:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science & Analytics
- Python Programming
- Data Visualization
- Big Data Technologies
- Natural Language Processing (NLP)
- Computer Vision
- Generative AI
- Cloud Computing
- Database Management Systems
Preferred Skills
- Research publications in reputed journals/conferences.
- Experience in handling AI/ML projects and research activities.
- Industry certifications in AI, Data Science, Cloud, or related technologies.
- Ability to establish industry-academia collaborations.
