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.

Robust 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