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Assistant Professor / Institutional Instructor | Domain : Artificial Intelligence, Machine Learning,

Assistant Professor / Institutional Instructor | Domain : Artificial Intelligence, Machine Learning,

CognitelIndia
6 days ago
Job description

Company Description

Cognitel is a leading education and training organization in India, specializing in emerging technologies, digital transformation, and industry-academia partnerships. The company collaborates with top universities and institutions to design and deliver cutting-edge programs in domains such as

Artificial Intelligence, Machine Learning, Generative AI, Data Science, Cybersecurity, Cloud Computing, and Quantum Computing . With a strong focus on skill development and global certifications, Cognitel empowers students and professionals to stay ahead in today’s technology-driven world.

Role Description

This is a full-time, on-site role for an

Assistant Professor / Institutional Instructor

specializing in

Artificial Intelligence, Machine Learning, and Data Science

within the

Computer Science & Engineering

domain. The position is located in

Delhi NCR / Chandigarh . The instructor will be responsible for teaching graduate and undergraduate courses, developing curriculum, conducting research, publishing scholarly articles, and mentoring students. Additional responsibilities include participating in departmental meetings, contributing to accreditation processes, and engaging in service activities at the institutional level.

Qualifications

M.Tech

in

Computer Science, Engineering , or a related field

3 to 7 years of teaching and / or industry experience

in AI, ML, or Data Science

Expertise in

Artificial Intelligence, Machine Learning, and Data Science

Proficiency in Python, R, and other relevant programming languages

Strong presentation and communication skills

Experience with curriculum development and academic research

Prior teaching experience in higher education is preferred

Ability to work collaboratively within a team-oriented academic environment

Commitment to diversity, equity, and inclusion in academia

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