Technical Trainer

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 is for the technical trainer to train the student for the placements

you also act as a trainer cum developer for some projects

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

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

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.

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

Position Description:

Amity University, Patna campus invites applications for a tenure-track Assistant Professor position in the Department of Computer Science. The successful candidate will demonstrate a strong commitment to teaching, research, and service in the field of computer science.

Responsibilities:

• Teach undergraduate and graduate courses in computer science, with a focus on [insert areas of specialization or interest, e.g., artificial intelligence, machine learning, software engineering, etc.].
• Develop and deliver innovative curriculum that incorporates industry best practices and emerging technologies.
• Advise and mentor undergraduate and graduate students in academic and career development.
• Conduct high-quality research leading to publications in peer-reviewed journals and presentations at conferences.
• Seek external funding to support research activities and contribute to the growth of the department.
• Participate in departmental and institutional service activities, including committee work, academic advising, and community outreach.
• Contribute to the collegial and collaborative atmosphere of the department through active engagement with colleagues and participation in departmental events and initiatives.

Qualifications:

• A Ph.D. in Computer Science or atleast Thesis submitted
• Evidence of excellence in teaching at the undergraduate and/or graduate level.
• A strong record of research productivity, including publications in reputable journals and conferences.
• Demonstrated expertise in [insert areas of specialization].
• Ability to effectively communicate complex concepts to diverse audiences.
• Commitment to fostering an inclusive and equitable learning environment.
• Strong interpersonal skills and the ability to work collaboratively with students, faculty, and staff.
• Potential for leadership and contribution to the academic community.

Preferred Qualifications:

• Experience securing external research funding.
• Experience supervising undergraduate or graduate research projects.
• Experience with curriculum development and assessment.
• Experience with industry collaboration or technology transfer initiatives.

Application Process:

Interested candidates should submit a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching effectiveness (e.g., teaching evaluations), and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.

Requirements:

- Proficiency in Java fundamentals and coding.

- Proficiency in front-end technologies such as Angular and React.

- Experience with backend frameworks like Spring Boot (mandatory).

- Previous experience as a Java Full Stack trainer.

- Excellent communication skills.

- Ability to work independently and remotely (for candidates outside Kochi, Kerala).

- Willingness to work onsite in our office (for Kochi residents).

Preferred Qualifications:

- Certification in Java.

- Experience with Agile methodologies.

Key Responsibilities:

• Design and develop training materials for MERN Stack web application development.
• Deliver training sessions to individuals or groups in a classroom or online setting.
• Provide hands-on training on MongoDB, Express JS, React JS, and Node JS.
• Teach how to use No SQL Database, REST API, and how to connect REST API with front-end applications.
• Conduct assessments to evaluate trainees' understanding and progress.
• Provide feedback and support to trainees throughout the training process.
• Keep up-to-date with the latest trends and technologies in MERN Stack web application development.
• Collaborate with the project team to develop real-world scenarios and case studies for trainees.

Requirements:

• Minimum of 2 years of experience in MERN Stack web application development.
• Strong expertise in MongoDB, Express JS, React JS, and Node JS.
• Familiarity with asynchronous JS, No SQL Database, and REST API.
• Excellent communication and interpersonal skills.