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)
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 Eng
📌 IT Trainer (Chennai)
🏢 Larsen and Toubro
📍 Chennai
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