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.Tech.), MCA, or equivalent qualifications are encouraged to apply.

Required

Competencies - Excellent communication and presentation skills.
Solid curriculum development and documentation skills.
Time management and multitasking abilities. Key Deliverables - Curriculum and syllabus design
Instructor presentations
Lab manuals and coding exercises
Assignments and assessments
Capstone projects
Question banks and evaluation rubrics
Faculty enablement sessions
Student mentoring and technical support

📌 It Trainer Chennai
🏢 Larsen u0026 Toubro
📍 Chennai