Remote Technical lead java Jobs – 99 Open Jobs Today

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Assistant Professor (Computer Science)

NCR Eduservices Pvt Ltd -
Remote

Quick apply

Job details

Full-time
8 hours ago

Benefits

Work from home

Qualifications

Computer science
Blackboard
Image processing
Doctoral degree
Tutoring
English
Information security
Java
Master's degree
OOP
Analysis skills
C++
C
Machine learning
JavaScript
Natural language processing
ISO 27001
Data science
LMS
AI
Moodle
Communication skills
Python
Teaching experience

Full job description

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 : Master’s or 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)

Age : max 35

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 protected]

Regards,

Kirtika Sharma

9599314292

Team Lead-HR & Operations

Work Location: Remote

Quick apply

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