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: Associate Professor – Computer Science Engineering (CSE)

Department: CSE

Job Summary:

The Associate Professor (CSE) is responsible for teaching core computer science subjects, training students in programming and emerging technologies, and contributing to research and academic excellence.

Key Responsibilities:

• Teach subjects like Data Structures, Algorithms, DBMS, Operating Systems, and Programming Languages
• Train students in coding, software development, and industry-relevant skills
• Conduct lab sessions, workshops, and technical training programs
• Evaluate students through exams, assignments, and projects
• Guide students in internships, mini-projects, and final-year projects
• Participate in curriculum development and research activities

Qualifications:

• M.E./M.Tech in Computer Science or related field
• Ph.D. (preferred)
• NET/SET (if applicable)

Skills Required:

• Strong programming knowledge (Java, Python, C++, etc.)
• Teaching and technical training skills
• Knowledge of latest technologies (AI, Data Science, Cloud, etc.)
• Research and analytical skills

Experience:

• 3–8 years of teaching/industry experience

Role Overview

We are looking for a passionate Computer Science Faculty to train and mentor students in computer

science concepts and practical applications while helping them develop industry-relevant technical skills.

Key Responsibilities

• Conduct hands-on practical training sessions in Computer Science.

• Explain programming and technical concepts through practical applications.

• Conduct coding exercises, assignments, projects, and assessments.

• Monitor student attendance, assessment scores, assignment performance, and learning progress.

• Provide continuous technical mentoring and guidance.

• Help students develop industry-relevant technical skills.

• Assist students in obtaining certifications in high-demand technologies.

• Support students in securing internships and provide continuous guidance.

• Keep students updated with relevant industry trends and technologies.

• Ensure students achieve periodic learning targets and outcomes.

• Work effectively in a corporate-style training environment.

Preferred Candidates

• Prior Computer Science teaching/training experience preferred.

• Strong technical and programming knowledge.

• Strong communication and presentation skills.

• Good classroom management skills.

• Passion for teaching and mentoring students.

• Immediate joiners preferred

Qualification

• PG qualification in Computer Science

• UGC NET/SET in Computer Science OR completed PhD in Computer Science / relevant specialization

Strong Senior AI Engineer Profile with production-grade LLM and Python expertise

2

Mandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments

3

Mandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design

4

Mandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)

5

Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.

6

Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scale

7

Mandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)

8

Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)

9

Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).

10

Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challenges

11

Mandatory (Education) - B.Tech or B.E. If graduated in BCA or BCS, they should have a Maters or Post graduation

12

Mandatory (Company): B2B Tech/Consulting/B2B Software

NeuroNetworks AI Ed is an Indian AI and technology education company. Our flagship Neuromind AI Creator Program is a 1-year, 104-lecture course for students after Class 10 and college tech students. Every student watches the same recorded lectures; hands-on practicals run in our own browser-based lab.

The role: you will be the instructor students see and hear in every lecture. You will write the lecture scripts and record ~40-minute lectures (concept explanations + live coding) for the whole program, from a detailed syllabus set by our Course Architect.

Topics: AI foundations; Python (data structures, OOP, Pydantic, HTTP, exceptions, files); Git and AI coding tools; prompting and LLM APIs; React, FastAPI, PostgreSQL basics; Linux and Docker; local models and RAG; MCP; workflow automation; AI agents (LangChain, LangGraph, CrewAI, Claude Agent SDK); monitoring; AI security and governance.

Must have: minimum 3 years (4+ preferred) teaching through pre-recorded video lectures (Udemy, YouTube, edtech or corporate training); fluent spoken and written English; strong hands-on Python; working knowledge of Generative AI (LLM APIs, prompting, RAG, agents); you write your own lecture scripts; full-time from our Pune office; able to join within 14 days of an offer.

Good to have: React/FastAPI/PostgreSQL projects; Linux, Docker, Git; MCP or agent frameworks; PCEP or AWS Certified AI Practitioner; experience teaching beginners; ability to make simple slides.

How to apply: apply here on Cutshort. In your application, include links to 2-3 sample recorded lectures you created, your notice period and expected CTC. Applications without sample lecture links will not be considered.

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

Strong Senior AI Engineer Profile with production-grade LLM and Python expertise

2

Mandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments

3

Mandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design

4

Mandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)

5

Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.

6

Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scale

7

Mandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)

8

Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)

9

Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).

10

Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challenges

11

Mandatory (Education) - B.Tech or B.E. If graduated in BCA or BCS, they should have a Maters or Post graduation

12

Mandatory (Company): B2B Tech/Consulting/B2B Software

Cyber Security Expert

We are seeking a highly skilled Cyber Security Expert with strong expertise in AI-driven

security tools and ethical hacking techniques. The ideal candidate will safeguard our digital

infrastructure, proactively identify vulnerabilities, and design intelligent defense mechanisms

against evolving cyber threats.

Key Responsibilities

• Threat Analysis: Identify, assess, and mitigate potential risks across systems and

networks.

• AI Security Tools: Deploy and manage AI-based solutions for intrusion detection,

anomaly monitoring, and predictive threat modelling.

• Ethical Hacking: Conduct penetration testing, simulate cyber-attacks, and recommend

remediation strategies.

• Incident Response: Lead investigations, contain breaches, and implement recovery

measures.

• Compliance & Governance: Ensure adherence to data protection laws, industry

standards, and organizational policies.

• Training & Awareness: Educate employees on best practices and emerging threats.

Required Skills & Qualifications

• Proven hands-on experience with AI-powered security platforms (e.g., SIEM, SOAR,

ML-based anomaly detection).

• Strong knowledge of ethical hacking tools (Metasploit, Burp Suite, Kali Linux, etc.).

• Expertise in network security, firewalls, IDS/IPS, and endpoint protection.

• Familiarity with cloud security (AWS, cloud platform).

• Proficiency in scripting languages (Python, Bash, PowerShell) for automation.

• Solid understanding of cryptography, authentication protocols, and secure coding

practices.