[Hiring] Assistant Professor - Computer Science @NCR Eduservices

Role Description

The Assistant Professor (Computer Science) will be responsible for delivering academic support and mentorship to students, conducting online sessions, and guiding students through various platforms.

• Deliver academic support and mentorship to Undergraduate and Postgraduate students.
• Conduct and facilitate online sessions in Computer Science and Artificial Intelligence/Machine Learning.
• Guide students through virtual platforms, LMS, email, and chat support.
• Simplify and explain technical concepts using practical and student-friendly approaches.
• Respond to academic queries promptly while maintaining high-quality learner support.
• Evaluate assignments, quizzes, projects, and examinations, providing meaningful and constructive feedback.
• Monitor student learning progress and recommend appropriate academic interventions.
• Develop, review, and enhance course materials, presentations, and instructional resources.
• Collaborate with faculty members and academic coordinators to ensure consistent course delivery and assessment quality.
• Maintain academic documentation and ensure adherence to institutional quality standards.
• Contribute to curriculum enhancement initiatives aligned with emerging technologies and industry trends.

Qualifications

• Minimum 3+ years of teaching experience in Computer Science and/or Artificial Intelligence/Machine Learning.
• At least 2 years of experience in teaching or tutoring is mandatory.
• Experience teaching undergraduate and postgraduate students is highly desirable.
• Experience with Learning Management Systems (Canvas, Moodle, Blackboard, or similar platforms) will be an added advantage.
• Familiarity with online assessment tools and plagiarism detection software is preferred.
• Strong subject knowledge in Computer Science and Artificial Intelligence.
• Excellent verbal and written English communication skills with a neutral accent.
• Outstanding presentation, mentoring, and interpersonal abilities.
• Strong analytical thinking and problem-solving skills.
• Ability to engage and motivate students in an online learning environment.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, or Machine Learning.
• 2+ years in the Ed-tech Industry.
• Working Days: Monday to Saturday (Sunday Off, 2 Saturdays Off per Month).
• Shift Timing: 3:30 PM - 12:30 AM (IST).

Technical Expertise

• Core Computer Science
• Python
• Java
• C++
• JavaScript
• Data Structures & Algorithms
• Object-Oriented Programming
• Database Management Systems
• Operating Systems
• Computer Networks
• Software Engineering
• Artificial Intelligence & Data Science
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Data Science
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• AI Model Evaluation & Applications