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Roles and Responsibilities:
Curriculum Development:
- Design and develop engaging LMS course content, modules, and assessments.
Content Management:
- Upload, organize, and maintain course materials within the LMS.
Stakeholder Collaboration:
- Work with subject matter experts and department heads to identify training needs and gather content.
Quality Assurance:
- Review and test course content to ensure it meets quality standards.
User Support:
- Provide guidance to learners and develop support materials like user guides and FAQs.
Evaluation and Improvement:
- Assess training effectiveness through evaluations and feedback, and implement improvements.
Qualifications:
- Bachelor’s degree in Education, Instructional Design, HR, or related field.
- Experience in curriculum development and instructional design for LMS.
- Proficiency with LMS software and e-learning authoring tools.
- Strong project management and communication skills.
- Detail-oriented with an analytical mindset.
Regards,
Dhivya V


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.
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.
Role Description
This is a full-time on-site role for the Head of Artificial Intelligence at KGiSL Educational Institutions, located in Coimbatore. The Head of Artificial Intelligence will be responsible for overseeing and developing AI strategies and initiatives. Daily tasks include leading AI research projects, developing innovative AI solutions, managing a team of AI professionals, and collaborating with various departments to integrate AI methodologies into different functions. The role also involves staying current with industry advancements and ensuring compliance with ethical and regulatory standards.
Qualifications
- Strong background in Computer Science and Data Science
- Extensive experience in Pattern Recognition, Natural Language Processing (NLP), and Computer Vision
- Proven leadership and team management skills
- Excellent problem-solving and analytical skills
- Advanced degree Master's in a related field
- Strong communication and collaboration skills
- Experience in the educational sector is a plus
- 8 Years of experience in Artificial Intelligence

The Assistant Professor in CSE will teach undergraduate and graduate courses, conduct independent and collaborative research, mentor students, and contribute to departmental and institutional service.
Deliver Training Sessions: Conduct live training sessions, workshops, and webinars both in-person and online. Engage learners through interactive demonstrations and hands-on exercises.
Curriculum Development: Design and update curricula based on industry trends, feedback from previous sessions, and emerging technologies to ensure relevance and effectiveness.
Assess Learner Progress: Evaluate participant progress through quizzes, assignments, and projects. Provide constructive feedback and support to help learners achieve their goals.
Technical Expertise: Stay current with the latest industry trends, technologies, and best practices in full stack development to ensure the training content is accurate and relevant.
Support and Mentorship: Offer one-on-one support and mentorship to learners, helping them overcome challenges and apply their knowledge effectively.
Collaboration: Work closely with other trainers, developers, and stakeholders to ensure alignment of training objectives with organizational goals.
Qualifications:
- Educational Background: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- Experience: Proven experience in full stack development, including proficiency in front-end technologies (HTML, CSS, JavaScript, frameworks like React or Angular) and back-end technologies (Node.js, Python, Ruby, databases, etc.).
- Teaching Experience: Prior experience in a teaching or training role is highly desirable, with the ability to convey complex concepts in an understandable manner.
- Communication Skills: Excellent verbal and written communication skills, with the ability to present technical information clearly and effectively.
We are looking for an experienced and passionate Java Full Stack Trainer to deliver hands-on training sessions and mentor aspiring developers. The trainer will be responsible for designing curriculum, preparing content, conducting interactive sessions, and guiding learners in developing end-to-end projects.


A Computer Scientist/Engineer designs, develops, tests, and integrates computer software and hardware systems. This pivotal role blends deep knowledge of computer architecture with advanced software engineering—driving innovation in platforms spanning from embedded systems and networks to AI and cybersecurity

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.
To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.