11+ E-learning Jobs in Coimbatore | E-learning Job openings in Coimbatore

We are seeking a strategic and experienced Head of Learning and Development to lead, design, and implement comprehensive L&D strategies aligned with organizational goals. The role involves overseeing all learning initiatives, enhancing employee skills, supporting career development, and fostering a culture of continuous learning within the organization.

We are seeking a motivated and skilled Technical Trainer to deliver effective training programs on technical subjects to students or employees, ensuring clear understanding and practical skill development. The trainer will design training content, conduct engaging sessions, and evaluate learner progress to enhance technical competency aligned with industry standards

We are looking for an SAP MM Consultant to manage procurement, inventory, and material master data processes. The role includes system configuration, support, and integration with other SAP modules.

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

Conduct offline training sessions on Cloud and DevOps topics.

Prepare and share training materials, assignments, and case studies.

Guide students through hands-on activities and real-world marketing projects.

Assess student performance and provide constructive feedback.

Ensure engaging, interactive, and practical classroom sessions.

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.

• Teaching: Delivering lectures, designing course materials, and guiding students in psychological theories and applications.
• Research: Conducting studies, publishing papers, and contributing to advancements in psychology.
• Mentorship: Advising students on academic and career paths, supervising research projects, and fostering intellectual growth.
• Administrative Duties: Participating in departmental meetings, curriculum development, and university initiatives.

Technical Proficiency: In-depth knowledge of specific technical domains relevant to the industry, such as programming languages, software applications, or machinery.

Instructional Design Expertise: Ability to develop structured training programs that cater to various learning styles and effectively convey complex information.

Communication Skills::Strong verbal and written communication skills to explain technical concepts clearly and concisely.

Analytical Abilities: Skill in evaluating training outcomes and identifying areas for improvement.

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.

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.