Associate Professor & HOD in Artificial Intelligence & Machine Learning
with a strong academic background, hands-on expertise in AI technologies, curriculum development experience, and demonstrated contributions to research and student engagement.
The ideal candidate will design and deliver advanced AI/ML courses, mentor students, lead academic projects, and support institutional academic excellence initiatives.
Key Responsibilities
Deliver classroom teaching for courses in:
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Reinforcement Learning
Natural Language Processing
Design, review, and update curriculum modules in AI, ML & DS.
Guide students in academic projects, hackathons, internships, and research activities.
Lead hands-on workshops, FDPs, STTPs, technical seminars, and peer learning sessions.
Evaluate assignments, examinations, and student performance as per academic standards.
Participate in departmental activities such as:
BOS (Board of Studies)
NIRF
ARIIA
Accreditation processes
Collaborate with industries for PoCs, research collaborations, and project development.
Support student clubs like AI Clubs, GDSC, and innovation labs.
Publish research work and contribute to academic proposals, grants, and scholarly activities.
Required Skills & Competencies
Strong expertise in AI, Machine Learning, Deep Learning, and NLP.
Good knowledge of Python-based AI tools and frameworks (TensorFlow, etc.).
Experience mentoring hackathons, innovation contests, and student research.
Ability to design innovative AI/ML curriculum aligned with industry standards.
Excellent communication and academic advising skills.
Experience in project-based learning and outcome-driven pedagogy.
Ability to handle academic coordination and administrative responsibilities.
Preferred Qualifications
Ph.D. (Pursuing or Near Completion) in CSE / AI / ML.
Certifications in AI/ML from NPTEL, Coursera, IBM, NVIDIA, DeepLearning.AI.
Experience working on healthcare AI, computational oncology, and applied AI.
Recognitions in national-level hackathons or research competitions.
Experience as a resource person for workshops and FDPs.
Job Types: Full-time, Permanent
Pay: ?206,530.70 - ?1,395,549.21 per year
Ability to commute/relocate:
Dehradun, Uttarakhand: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
What is your current CTC ?
Experience:
Teaching AI/ML: 5 years (Preferred)
Work Location: In person
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