Meenakshi Sundararajan Group of Institutions (MSGI) – Kodambakkam, Chennai

Meenakshi Sundararajan Group of Institutions is looking for skilled and passionate Technical Trainers to deliver industry-ready training in core and emerging technologies.

The role involves equipping students with practical technical knowledge, enhancing employability skills, and aligning learning outcomes with current industry standards.

Role: Technical Trainers

Experience: 3–8 Years

Location: Kodambakkam Campus, Chennai

Preferred Background: Technical Training / Teaching / Industry Experience

JOB DESCRIPTION – TECHNICAL TRAINER

Programming Languages & Data Analytics

Experience: Minimum 3 years; preferably 3–8 years

Qualification: B.E./B.Tech./M.E./M.Tech./MCA/M.Sc. – CSE, IT, AI&DS;, Data Science or relevant discipline

Target Learners: Engineering College Students

Primary Areas: C, C++, Java, Python, Data Structures, Algorithms & Data Analytics

Key Roles & Responsibilities

1. Programming Language Training

Conduct structured classroom and laboratory training in C, C++, Java and Python for engineering students. Cover programming fundamentals, control structures, functions, arrays, strings, OOP concepts, exception handling, collections and basic application development. Ensure students can independently write, execute, test and debug programs.

2. Programming Fundamentals & Logical Thinking

Develop strong programming foundations through problem-solving, logical reasoning, algorithms, flowcharts and pseudocode. Train students to understand a problem, design a logical solution and convert it into efficient code using C, C++, Java or Python.

3. Data Structures & Algorithms

Provide practical training in arrays, linked lists, stacks, queues, trees, searching, sorting, hashing, recursion and basic algorithms. Introduce time and space complexity and train students to solve coding problems efficiently.

4. Python Programming & Data Analytics

Conduct practical Python training covering Python fundamentals, functions, lists, tuples, dictionaries, file handling,



OOP and exception handling, followed by Python-based Data Analytics using NumPy, Pandas, Matplotlib and Seaborn. Train students to work with real-world datasets and derive meaningful insights.

5. Hands-on Coding & Laboratory Practice

Conduct regular coding and laboratory sessions with beginner, intermediate and advanced-level exercises. Provide live coding demonstrations, debugging support and individual guidance. Ensure students receive adequate practical exposure rather than relying only on theoretical instruction.

6. Placement-Oriented Technical Training

Prepare engineering students for campus placements, coding assessments, online programming tests and technical interviews. Conduct coding practice, debugging exercises, programming challenges and mock technical rounds based on industry recruitment requirements.

7. Technical Assessment & Performance Tracking

Conduct coding tests, programming assessments, practical examinations, assignments, quizzes and mock tests. Analyse student performance, identify technical skill gaps and maintain individual and batch-level progress records. Provide remedial training for weak students and advanced challenges for high-performing students.

8. Project & Technical Mentoring

Guide students in programming, Python, Data Analytics and final-year projects. Support problem identification, technology selection, coding, debugging, testing, documentation and project presentation. Encourage students to develop practical, industry-relevant projects.

9. Coding Competitions, Hackathons & Technical Activities

Organise and mentor students for coding competitions, hackathons, technical symposiums,



programming clubs and workshops. Identify high-performing students and provide advanced programming, problem-solving and competitive coding practice.

10. Industry Readiness, Mentoring & Reporting

Align technical training with current IT/software industry requirements. Mentor students on technical career paths, certifications, Git/GitHub and interview preparation. Maintain training calendars, attendance, syllabus completion, assessment results, student progress and monthly training reports.

Mandatory Technical Skills

The candidate must have solid practical knowledge of:

- C Programming
- C++ Programming
- Java Programming
- Python Programming
- Object-Oriented Programming
- Data Structures & Algorithms
- Programming Logic & Problem Solving
- Debugging
- Basic Data Analytics
- Practical Coding & Laboratory Training

- Preferred Data Analytics Skills
- NumPy
- Pandas
- Matplotlib
- Seaborn
- SQL
- Excel
- Power BI
- Tableau
- Jupyter Notebook
- Preferred Additional Skills
- Git / GitHub
- Competitive Programming
- Coding Platforms
- Software Development Fundamentals
- Hackathon Mentoring
- Industry Project Experience
- Experience Requirement
- Minimum 3 years of relevant experience, preferably 3–8 years, in:
- Technical Training
- Programming Training
- Engineering College Training
- Software Development
- Coding Training
- Placement Training
- Python / Data Analytics Training
- Corporate Technical Training
- Student Project Mentoring
- Preference should be given to candidates who have both industry experience and experience training engineering college students. MSGI comprises:* Meenakshi Sundararajan Engineering College

* Meenakshi Sundararajan College for Women

* Meenakshi Sundararajan School of Management

* The NEST School

363, Arcot Road, Kodambakkam, Chennai – 600 024

Apply Now: [email protected]

Website: https://msec.edu.in

Pay: ₹30,000.00 - ₹50,000.00 per month

Benefits:

- Flexible schedule

Work Location: In person

📌 Technical Trainer (India)
🏢 Meenakshi Sundararajan Engineering College
📍 India