Hiring || Assistant Professor - Computer Science || EdTech || WFH

About Us:

NCR Eduservices, a leading provider in educational services, delivers a comprehensive suite of solutions including e-tutoring, content development, academic delivery quality management, and extensive back-office support. Dedicated to addressing challenges for educational organizations, instructors, and learners through innovative strategies, the company is focused on enhancing education quality and accessibility. It holds ISO 9001:2015 and ISO 27001:2013 certifications, underscoring its commitment to quality management and information security.

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 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.
• 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.

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

Application Process: Ready to drive your career to new heights? Here's how to apply:

• Send your updated resume to [email removed]

Regards,

Kirtika Sharma

[phone removed]

Team Lead-HR & Operations