is a dynamic and future-focused institution dedicated to delivering quality education in emerging and transformative domains. We are committed to nurturing skilled professionals with industry-relevant expertise and a global perspective.
Our
B.Tech program with a specialization in Artificial Intelligence & Machine Learning (AI & ML)
is designed to equip students with cutting-edge knowledge, hands-on experience, and problem-solving abilities required in the fields of intelligent systems, data science, and automation. The program emphasizes innovation, research, and practical exposure to prepare students for successful careers in AI-driven industries.
Position Overview:
The
Assistant Professor of B.Tech (Artificial Intelligence & Machine Learning)
will be responsible for teaching undergraduate engineering courses in AI, Machine Learning, and related areas such as Data Science, Deep Learning, and Computer Vision. The role includes delivering high-quality instruction, guiding student research and projects, and contributing to academic scholarship through publications, patents, and industry collaborations.
The candidate is also expected to engage in curriculum development, mentor students for career readiness, foster innovation through labs or coding clubs, and actively participate in departmental, research, and institutional activities.
Eligibility Criteria (Mandatory):
Master's Degree (M.Tech/M.E.) in Computer Science, Artificial Intelligence, Machine Learning, or equivalent from a recognized university.
UGC NET/GATE qualified
or Ph.D. in a relevant domain (preferred as per UGC/AICTE norms).
Strong academic foundation in AI, ML, Data Science, and programming.
Desirable Qualifications:
Hands-on experience with AI/ML tools and platforms:
Python, R, TensorFlow, Keras, PyTorch
Scikit-learn, OpenCV, AWS
Google Colab, Jupyter, GitHub
Familiarity with Cloud AI tools (AWS, Azure, Google Cloud)
Understanding of MLOps, AI ethics, and real-time AI deployment
Research publications or patents in AI/ML/CSE domains
Strong communication, presentation, and mentoring skills
Roles and Responsibilities:
Deliver engaging and concept-driven theoretical and practical sessions in
B.Tech (AI & ML)
courses.
Design and update course materials, lab manuals, and assessments aligned with
AICTE norms
and current
industry trends
in AI, ML, and Data Science.
Guide and mentor students in
projects, coding labs, research publications
, and
capstone assignments
.
Encourage student participation in
hackathons, coding competitions, internships
, and
technical clubs
.
Participate actively in
academic research
, publications, seminars, workshops, and
industry collaborations
.
Key Competencies:
Excellent
communication
and
classroom engagement
skills.
Strong subject expertise in
Artificial Intelligence, Machine Learning, Deep Learning, and Data Science
.
Ability to
integrate digital tools
, programming platforms (e.g., Python, TensorFlow, Google Colab), and real-world case studies into teaching.
Strong
mentoring skills
to guide students in projects, research, and career development.
Up-to-date with emerging technologies like
Generative AI
,
MLOps
, and
AI Ethics
.
Effective in
time management
, academic planning, and departmental coordination.