Python Trainer at KGiSL MICROCOLLEGE · kerala · 1 - 6 years · ₹1L - ₹6L / yr · Posted 5 Jan 2026

Job description
Job Title: Python Trainer (Workshop Model Freelance / Part-time)
Location: Thrissur & Ernakulam
Program Duration: 30 or 60 Hours (Workshop Model)
Job Type: Freelance / Contract
About the Role:
We are seeking an experienced and passionate Python Trainer to deliver interactive, hands-on training sessions for students under a workshop model in Thrissur and Ernakulam locations. The trainer will be responsible for engaging learners with practical examples and real-time coding exercises.
Key Responsibilities:
Conduct offline workshop-style Python training sessions (30 or 60 hours total).
Deliver interactive lectures and coding exercises focused on Python programming fundamentals and applications.
Customize the curriculum based on learners skill levels and project needs.
Guide students through mini-projects, assignments, and coding challenges.
Ensure effective knowledge transfer through practical, real-world examples.
Requirements:
Experience: 15 years of training or industry experience in Python programming.
Technical Skills: Strong knowledge of Python, including OOPs concepts, file handling, libraries (NumPy, Pandas, etc.), and basic data visualization.
Prior experience in academic or corporate training preferred.
Excellent communication and presentation skills.
Mode: Offline Workshop (Thrissur / Ernakulam)
Duration: Flexible – 30 Hours or 60 Hours Total
Organization: KGiSL Microcollege
Role: Other
Industry Type: Education / Training
Department: Other
Employment Type: Full Time, Permanent
Role Category: Other
Education
UG: Any Graduate
Key Skills
Data Science,Artificial Intelligence
Role: Other
Industry Type: Education / Training
Department: Other
Employment Type: Full Time, Permanent
Role Category: Other
Education
UG: Any Graduate

About KGiSL MICROCOLLEGE
About
Company social profiles
Similar jobs (2)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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 a Technical Trainer, located in Dharmapuri. The Technical Trainer will be responsible for designing and delivering technical training sessions, conducting needs assessments, creating training materials, and presenting complex technical information in an understandable way. The role also includes collaborating with other departments to identify training needs, tracking the effectiveness of training programs, and continually improving training methods to ensure the highest quality education for participants.
Qualifications
- Skills in Technical Training and Training & Development
- Experience as Technical Trainers and in designing training programs
- Strong Communication and presentation skills
- Ability to identify training needs and tailor sessions accordingly
- Proficiency in using training tools and technology
- Excellent organizational and time-management skills
- Bachelor's degree in Education, Information Technology, or related field
- Experience in the educational sector is a plus
- Must required Skills ( HTML, Full stack, JAVA, C++, Python, Data structure, SQL basic )
Data Science (SME)
FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.
● Worked with 2,000+ colleges and universities across India
● Trained 6+ million students across disciplines
● Market leaders in:
● Employability skills & placement readiness
● Industry-aligned academic papers(credit-bearing)
● Full-scale industry-aligned degree programs with universities
● Pan-India operations, headquartered in Coimbatore
● Young, energetic, mission-driven team
● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year
At FACE Prep, people are the platform on which outcomes are built.
Position: Data Science (SME)
Location: Coimbatore
Duration: Full-Time
Department: Training & Development
Experience: Minimum 2 Years
Role Description :
The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.
Requirements:
• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.
• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.
• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.
• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).
• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.
• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.
• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.
IMMEDIATE JOINERS REQUIRED






