Job Description – Assistant ProfessorDepartment: Computer Science & Engineering (Artificial Intelligence & Machine Learning) / Computer Science & Engineering (Data Science)Position
Assistant Professor – CSE (Artificial Intelligence & Machine Learning) / CSE (Data Science)
Qualification
- B.E./B.Tech./B.S. and M.E./M.Tech. or Integrated M.Tech. in Computer Science & Engineering, Artificial Intelligence & Machine Learning (AI & ML), Data Science, or a relevant discipline with First Class or equivalent in any one of the degrees, as per AICTE/UGC norms.
- Ph.D. in the relevant discipline is preferred/desirable.
- UGC-NET qualified candidates who meet the prescribed eligibility criteria are also encouraged to apply.
Experience
- 0–2 years of teaching, research, or relevant industry experience.
- with strong academic credentials, research aptitude, publications, coding skills, or project experience are encouraged to apply.
Core Skills – CSE (AI & ML)
- Programming: C, C++, Java, Python
- Artificial Intelligence & Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Neural Networks
- TensorFlow and/or PyTorch
- Data Structures & Algorithms
- Database Management Systems
- Cloud Computing fundamentals
Core Skills – CSE (Data Science)
- Programming: C, C++, Java, Python, R
- Data Structures & Algorithms
- Statistics for Data Science
- Machine Learning
- Big Data Analytics
- SQL and Database Management Systems
- Data Visualization (Power BI/Tableau/Matplotlib/Seaborn)
- Data Mining
- Python Data Science Libraries (NumPy, Pandas, Scikit-learn)
Roles & Responsibilities
- Deliver theory, laboratory, and tutorial sessions in accordance with the approved curriculum.
- Prepare lesson plans, course files, laboratory manuals, and assessment materials.
- Guide undergraduate student projects, internships, and research activities.
- Publish research papers in reputed journals/conferences and participate in funded research initiatives.
- Mentor students and support academic, innovation, and placement activities.
- Participate in curriculum development, accreditation (NBA/NAAC), and Outcome-Based Education (OBE) implementation.
- Organize and participate in Faculty Development Programmes (FDPs), workshops, seminars, hackathons, and technical events.
- Contribute to departmental and institutional administrative responsibilities as assigned.
- Maintain academic records and comply with UGC, AICTE, and institutional policies.
Preferred Attributes
- Strong communication and presentation skills.
- Passion for teaching, research, and innovation.
- Familiarity with Learning Management Systems (LMS) and digital teaching tools.
- Ability to work collaboratively in multidisciplinary academic and research environments.
Pay: ₹15,000.00 - ₹39,000.00 per month
Benefits:
- Commuter assistance
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
