The SME will be responsible for curriculum development, content creation, instructorled

training, hands-on lab development, assessment design, and supporting academic

institutions and corporate learning initiatives.

Key Responsibilities
Design and develop industry-aligned curriculum and learning paths.
Create engaging training materials, including presentations, lab manuals, coding

exercises, case studies, assignments, and projects.
Deliver instructor-led classroom and virtual training sessions.
Mentor students during hands-on labs, capstone projects, and hackathons.
Develop practical assessments, coding challenges, and evaluation rubrics.
Collaborate with instructional designers and academic partners to improve

learner outcomes.
Provide technical guidance to trainers and support faculty enablement

programs.
Stay updated with emerging technologies and integrate them into the

curriculum.

Required Technical Skills
Programming
Python
PHP
SQL

Artificial Intelligence
Generative AI (GenAI)
Large Language Models (LLMs)
Prompt Engineering




Retrieval-Augmented Generation (RAG) – Preferred
AI Agent Frameworks – Preferred

Data Analytics & Visualization
Microsoft Power BI |Tableau
Data Visualization Best Practices
Dashboard Development
Data Modeling

Database
SQL
Database Design
Stored Procedures (Preferred)

Machine Learning
Data Preprocessing
Feature Engineering
Supervised and Unsupervised Learning
Model Evaluation
Scikit-learn
Pandas
NumPy

Preferred Skills
LangChain or similar LLM orchestration frameworks
OpenAI APIs or equivalent AI platforms
Git and GitHub
REST APIs
Cloud platforms (Azure, AWS, or GCP)
Streamlit or Gradio
Docker (Preferred)

Educational Qualification
Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
Candidates with a Bachelor of Engineering (B.E./B.Tech.), Master of Engineering (M.E./M.T

📌 It Trainer Chennai
🏢 Larsen and Toubro
📍 Chennai