11+ SEO management Jobs in Coimbatore | SEO management Job openings in Coimbatore
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Job Title- Digital Marketing
Skills Required- SEM, SEO, SMM, Off-Page optimization, OFF-Page Optimization.
Eperience Period- 3-4Years
Packages- 3 to 5 LPA
Location - Coimbatore.
We are seeking a passionate and experienced Java Full Stack Trainer to deliver high-quality training in front-end and back-end technologies. The ideal candidate will have hands-on experience in full stack development and a flair for teaching aspiring developers and students.
Pay: ₹70,000.00 - ₹90,000.00 per month
Job description:
Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.
Job Title: Assistant Professor / Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)
Experience:
● Experience - 9-10 Years
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Eligibility & Qualifications (As per AICTE/UGC Norms):
Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.
Experience: Minimum of 9 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
- Good academic record throughout.
- Proven ability to attract research funding.
- Strong communication and interpersonal skills.
- Work Location: [ KGiSL Campus]
- Employment Type: Full-time / Permanent
- Joining time: immediately
Job Type: Full-time
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
Pay: ₹70,000.00 - ₹90,000.00 per month
Job description:
Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.
Job Title: Assistant Professor / Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)
Experience:
● Freshers can Apply● Experience - 8-10 Years
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Eligibility & Qualifications (As per AICTE/UGC Norms):
Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.
Experience: Minimum of 8 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
Good academic record throughout.
Proven ability to attract research funding.
Strong communication and interpersonal skills.
Work Location: [ KGiSL Campus]
Employment Type: Full-time / Permanent
Joining time: immediately
Job Type: Full-time
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
Job Title: Data Science Trainer
Location: Coimbatore
Employment Type: Full-time
Job Summary:
We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.
Key Responsibilities:
- Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
- Teach topics including but not limited to:
- Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
- Data Visualization (Matplotlib, Seaborn, Plotly)
- Statistics & Probability (Descriptive, Inferential)
- Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
- Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
- Big Data Tools (Hadoop, Spark – if applicable)
- Provide hands-on training with industry-relevant datasets and projects.
- Prepare lesson plans, assignments, assessments, and evaluation reports.
- Mentor learners individually to ensure conceptual clarity and practical application.
- Keep training content updated with the latest industry trends and technologies.
- Collaborate with the academic or corporate training team for curriculum improvement.
Required Skills & Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience in Data Science, Machine Learning, and Data Analytics.
- Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
- Strong understanding of statistical concepts and their application in data analysis.
- Experience with visualization tools like Tableau/Power BI is a plus.
- Excellent communication and presentation skills.
- Ability to simplify complex concepts for learners with varied backgrounds.
- Prior teaching/training experience preferred.
This role involves a balanced commitment to teaching, research, mentoring, and institutional service. The Assistant Professor will deliver high-quality instruction to undergraduate and graduate students, conduct innovative research, supervise student projects, and contribute to curriculum development and departmental governance.
Soft Skills Trainer — Key Responsibilities
- Assess training needs and identify areas for development.
- Design and develop interactive training materials (presentations, handouts, self-assessments).
- Deliver engaging workshops and training sessions (in-person or virtual).
- Provide one-on-one coaching and constructive feedback.
- Track trainee progress and evaluate program effectiveness.
- Collaborate with stakeholders to align training with organizational goals.
- Stay current with industry trends and adapt training accordingly.
Required Qualifications & Competencies
- Bachelor’s degree in fields like Human Resources, Education, Psychology, or a related discipline.
- Proven experience in training delivery or facilitation.
- Strong communication, public speaking, and presentation skills.
- Excellent interpersonal skills—empathy, active listening, and motivational coaching.
- Organizational strength: adept at planning, time management, and performance tracking.
- Familiarity with instructional design or training methodologies is a plus.
- Tech-savviness, including comfort with presentation tools and learning platforms.
Head of the Department
AI and Data Science
12 to 15 years of Experience
Salary negotiable for immediate Joiners
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Job Title - Mern Stack Trainer
Skills Required - Java, Python, React, Nodejs, MongoDB
Experience - 3-4 Years
Package- 6-10LPA
Location - Coimbatore.
COMPANY DESCRIPTION
KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.
Role Description
This is a full-time on-site role for an Assistant Professor in the mathematics department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.
Qualifications
Strong knowledge in Mathematics subjects
Experience in teaching at the undergraduate and graduate levels
Research skills and the ability to guide student projects
Excellent written and verbal communication skills
Proficiency in curriculum development and academic assessment
Master's degree in Mathematics, Ph.D in mathematics / statistics or a related field
Experience in the use of digital tools and teaching technologies is an advantage
Commitment to continuous improvement and professional development
End - End Digital marketing Industry experience are mandatory.
Job Summary:
We are seeking an experienced and passionate Digital Marketing Trainer to join our team and train students/professionals in digital marketing concepts and tools. The ideal candidate will have hands-on experience in digital marketing and a strong ability to communicate, mentor, and inspire learners.
Key Responsibilities:
- Deliver engaging and practical training sessions on digital marketing topics such as:
- SEO (Search Engine Optimization)
- SEM (Search Engine Marketing) / Google Ads
- Social Media Marketing (SMM)
- Email Marketing
- Web Analytics (Google Analytics, etc.)
- Content Marketing
- Affiliate and Influencer Marketing
- Develop training materials, including presentations, handouts, and assessments.
- Provide mentorship and career guidance to learners.
- Stay updated with the latest digital marketing trends and tools.
- Conduct workshops, live projects, and case study discussions.
- Evaluate student performance and provide feedback.
Required Skills & Qualifications:
- Bachelor’s degree in Marketing, Communications, or a related field.
- 2+ years of hands-on experience in digital marketing.
- Strong knowledge of tools like Google Ads, Google Analytics, Facebook Ads Manager, SEMrush, HubSpot, Mailchimp, etc.
- Prior teaching/training experience is a plus.
- Excellent communication and presentation skills.
- Ability to simplify complex topics and engage learners.
Preferred Certifications (Optional but a Plus):
- Google Ads Certification
- HubSpot Inbound Marketing Certification
- Facebook Blueprint Certification
- Digital Marketing Institute (DMI) or equivalent




