Assistant Professor(IT,CYS,AI)

echnical Skills

• Programming Languages: Python, Java, C, C++, R, JavaScript
• Data Structures and Algorithms
• Database Management Systems (MySQL, Oracle, MongoDB)
• Artificial Intelligence and Machine Learning
• Data Science and Analytics
• Cloud Computing (AWS, Azure, Google Cloud)
• Cyber Security and Network Security
• Internet of Things (IoT)
• Software Engineering and Software Testing
• Operating Systems and Computer Networks
• Web and Mobile Application Development
• DevOps and Containerization (Docker, Kubernetes)
• Research Methodology and Statistical Analysis Tools (SPSS, R, Python)

Teaching and Academic Skills

• Curriculum Design and Development
• Outcome-Based Education (OBE) Implementation
• Course Planning and Delivery
• Student Mentoring and Academic Advising
• Assessment and Evaluation Techniques

Research Skills

• Research Proposal Writing
• Publication in SCI, Scopus, and UGC Care Journals
• Patent Filing and Intellectual Property Rights (IPR)
• Conference Paper Presentation
• Research Collaboration and Networking

Leadership and Administrative Skills

• Departmental Planning and Coordination
• Faculty Development and Mentoring
• Accreditation Processes (NBA, NAAC, NIRF, ABET)
• Academic Administration and Policy Implementation
• Industry-Academia Collaboration
• Industry and Professional Skills
• Consultancy and Industry Projects
• Internship and Placement Coordination
• Entrepreneurship and Startup Mentoring

Soft Skills

• Effective Communication and Presentation
• Leadership and Team Management
• Problem-Solving and Critical Thinking
• Decision-Making Skills
• Interpersonal and Relationship Management
• Time Management and Organizational Skills
• Key Competencies
• Academic Excellence
• Quality Assurance and Accreditation Compliance
• Collaboration and Stakeholder Management

These skills are typically expected for an Associate Professor in CSE with teaching, research, and administrative responsibilities in higher educational institutions.

Essential Educational Qualifications

• Ph.D. in Computer Science and Engineering (CSE) or a relevant discipline from a recognized university.
• Master's Degree (M.E./M.Tech.) in Computer Science and Engineering or a related field with a consistently good academic record.
• Bachelor's Degree (B.E./B.Tech.) in Computer Science and Engineering or a related discipline.

Experience Requirements (as per AICTE/UGC norms – typical)

• Minimum 8 years of teaching, research, and/or industry experience after obtaining a postgraduate degree.
• At least 2 years of experience at the level of Assistant Professor Grade I or equivalent in a recognized institution.
• Proven track record of teaching undergraduate and postgraduate courses.

Educational Qualifications

• B.E./B.Tech in CSE or related field
• M.E./M.Tech in CSE (mandatory for most colleges)
• Ph.D. in CSE (required for universities, IITs/NITs, and highly preferred everywhere)
• Qualifying exams like UGC NET or GATE can strengthen your profile 

Core Technical Skills

Strong foundation in:

• Data Structures & Algorithms
• Operating Systems
• Computer Networks
• Database Management Systems
• Object-Oriented Programming (Java, C++, Python)

Specialized areas (choose 1–2):

• Artificial Intelligence / Machine Learning
• Cybersecurity
• Cloud Computing
• Data Science
• Software Engineering

Teaching & Communication Skills

• Ability to explain complex topics clearly
• Presentation skills (PowerPoint, whiteboard teaching)
• Curriculum design and lesson planning
• Student engagement and mentoring 

An Associate Professor is a mid-to-senior academic position in colleges and universities, typically above Assistant Professor and below Professor.

Joining:Immiate Joining

Qualifications:

In many institutions, especially in India:

• Ph.D. in a relevant discipline
• Teaching/research experience (often 8+ years)
• Research publications in indexed journals
• API score/research contributions as per institutional norms
• Eligibility criteria based on UGC or AICTE guidelines

Skills Required:

• Subject expertise in the specialization area
• Research and publication skills
• Classroom and laboratory management
• Communication and mentoring
• Leadership and academic coordination
• Technical and industry-oriented knowledge

Main Responsibilities:

• Teaching undergraduate and postgraduate students
• Conducting research and publishing papers
• Guiding student projects, internships, and theses
• Developing curriculum and course materials
• Participating in academic administration
• Applying for research grants and patents
• Mentoring junior faculty and students
• Contributing to accreditation activities such as NBA/NAAC

Technical / Domain Skills:

• Programming languages: Java, Python, C, C++, JavaScript
• Database systems: SQL, NoSQL, data modeling
• Software engineering and system design
• Artificial Intelligence & Machine Learning
• Data Science & Big Data Analytics
• Cloud Computing (AWS, Azure, Google Cloud)
• Cybersecurity and Network Security

Research Skills:

• Research methodology and experimental design
• Publishing in SCI/Scopus journals
• Writing research proposals and grant applications
• Patent filing and innovation development
• Data analysis and statistical tools
• Literature review and technical documentation
• Conference presentation and paper reviewing

Career Progression:

Assistant Professor → Associate Professor → Professor → Dean/HOD/Research Director

In conclusion, an Associate Professor plays a vital role in higher education by balancing teaching, research, student mentoring, and academic leadership. The position requires strong subject expertise, continuous learning, research contributions, and effective communication skills. Associate Professors contribute significantly to institutional growth, innovation, and the overall development of students and academic programs.

Job Title: Assistant Professor – Commerce / Computer Science

Organization: KGiSL Educational Institutions.

Job Description:

We are looking for qualified and passionate Assistant Professors for the Commerce and Computer Science departments. Candidates should be committed to teaching, research, and academic development.

Eligibility:

• Master’s Degree in Commerce / Computer Science or relevant discipline with good academic record
• UGC NET / SET qualified candidates preferred
• Freshers with UGC NET / SET can also apply
• Ph.D. candidates will have added advantage

Roles and Responsibilities:

• Deliver lectures and conduct tutorials for undergraduate and postgraduate students
• Prepare lesson plans, course materials, and academic assessments
• Guide students in projects, assignments, and academic activities
• Participate in research, publications, and academic development programs
• Contribute to departmental and institutional activities

Required Skills:

• Subject knowledge
• Communication
• Teaching ability
• Research orientation
• Presentation skills
• Student mentoring

Location: Coimbatore, Tamil Nadu

Key Responsibilities:

·      Architectural Leadership: Design and lead the development of robust, scalable AI architectures, ensuring high performance, reliability, and security.

·      Applied Mathematics & Statistics: Apply statistical analysis, numerical computation, and mathematical modeling to derive insights from large-scale data and optimize model performance.

·      Deep Learning Development: Design, train, and deploy advanced Deep Learning (DL) models.

·      Technical Mentorship: Mentor engineering teams on best practices for AI/ML, coding standards, and architectural design.

·      Model Optimization: Optimize models for speed, efficiency, and accuracy using techniques like pruning, quantization, or GPU acceleration.

·      Strategy & Innovation: Evaluate and select appropriate AI frameworks, tools, and platforms, staying abreast of cutting-edge research and industry trends.

Qualifications:

Required:

·      Education: Master's or PhD in Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field.

·      Experience: 10+ years of experience in software development, with at least 3-5 years in a Applied Mathematics and Deep learning.

·      AI/ML Expertise: Proven experience designing and deploying deep learning models in production using frameworks.

·      Mathematics/Statistics: Strong proficiency in linear algebra, calculus, probability, and statistical methods.

·      Programming Skills: Expert-level coding skills in Python (NumPy, Pandas, Scikit-learn) and experience with languages like Java or C++.

Key Competencies:

• Strategic mindset with deep operational awareness.
• Excellent communication and stakeholder management skills.
• Ability to simplify complex technical concepts for executive reporting.
• Strong leadership, people development, and cross-functional influencing skills.

Bias for action and a relentless focus on continuous improvement.

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com