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HoD- AI&ML

Coimbatore, India

 

Job Summary:

The Head of the Department (HOD) – AI & ML is responsible for leading the department’s academic, research, and administrative functions. This role involves managing curriculum development, promoting faculty and student research, ensuring quality teaching, and aligning the department’s goals with industry trends and institutional objectives in the field of Artificial Intelligence and Machine Learning.

Key Responsibilities:

  • Provide academic leadership in planning, designing, and implementing AI & ML programs.

  • Supervise and mentor faculty members, encouraging professional growth and development.

  • Oversee curriculum updates, ensuring alignment with current industry standards and emerging technologies.

  • Promote interdisciplinary research and secure funding through proposals and industry collaboration.

  • Organize workshops, seminars, guest lectures, hackathons, and conferences to foster innovation.

  • Guide students in projects, internships, and career pathways related to AI & ML.

  • Monitor faculty workload, leave, and performance in line with institutional policies.

  • Maintain documentation for accreditation and quality assurance (NBA, NAAC, etc.).

  • Facilitate collaborations with tech companies and research institutions for industry exposure.

  • Prepare departmental budgets, reports, and academic plans for submission to management.

Qualifications:

  • Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.

  • Minimum 10 years of teaching/research experience with at least 3 years in a leadership role.

  • Strong publication record in peer-reviewed journals and AI/ML conferences.

  • Experience with curriculum development and academic administration.

Key Skills:

  • Expertise in AI & ML tools, frameworks (e.g., Python, TensorFlow, PyTorch), and applications

  • Strong leadership and team management capabilities

  • Excellent communication and academic networking skills

  • Strategic thinking and decision-making abilities

  • Familiarity with academic ERP systems and digital teaching platforms

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