it trainer

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.
• Strong 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

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