Computer Science - Teaching Faculty
MH Cockpit
2 - 5 years
Chennai
Posted: 24/05/2026
Job Description
Position Overview:
Were Hiring Computer Science Faculty AI/ML & Data Science
Join our academic team and contribute to shaping the future of technology education.
We are looking for passionate, knowledgeable, and student-focused Computer Science Faculty members with strong expertise in Artificial Intelligence, Machine Learning, and Data Science.
Location: Chennai & Tiruppur
Role: Full-time, On-site
Joining: Immediate Joiners Preferred
Key Responsibilities:
Deliver engaging lectures and practical sessions for UG/PG students in Computer Science, AI/ML, and Data Science
Design lesson plans, lab activities, assignments, and assessments aligned with industry standards
Mentor students in projects, research work, internships, and career development
Develop and update curriculum content based on emerging technologies and market trends
Create an interactive, practical, and student-centric learning environment
Participate actively in academic planning, evaluations, and departmental activities
Maintain academic records and ensure high-quality classroom delivery
Required Qualifications & Skills:
- MSc in Computer Science / AI / Data Science or related field (PhD preferred mandatory or UGC NET required).
- ME/MTech in Computer engineering, AI/ML or related fields.
- Strong knowledge and hands-on experience in AI, ML, Data Science, Python, and related tools/frameworks.
- Excellent communication skills with the ability to teach effectively in Tamil.
- Prior teaching or training experience preferred.
- Ability to join immediately or within a very short notice period.
Preferred Attributes:
Passion for teaching and mentoring students
Strong presentation and classroom management skills
Up-to-date knowledge of latest technologies and industry trends
Ability to build an engaging and practical learning experience for students.
Interested candidates can apply or share their profiles with us.
Be a part of an institution committed to innovation, technology, and academic excellence.
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