Job Description
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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