Position: Assistant Professor (Computer Science)

Job Type: Work from Home

Qualification : Ph.D. (CS/AI/ML)

Experience: 2+ years in Ed-tech Industry

Process : Chat + Video Audio

Working Days: Monday to Saturday (Sunday Off, 2 Saturdays Off per Month)
Shift Timing: 3:30 PM - 12:30 AM (IST)

Key Responsibilities

- 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

Qualifications and Skills:





- 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.

- Robust 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.

Additional Information

Technical Expertise

Candidates should have sound knowledge in one or more of the following areas:

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

- Artificial Intelligence

- Machine Learning

- Deep Learning

- Natural Language Processing (NLP)

- Computer Vision

- Data Science

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- AI Model Evaluation Applications

📌 Hiring | Assistant Professor - Computer Science | WFH (India)
🏢 NCR Eduservices
📍 India