Enterprise Data Science & AI Instructor

As an Enterprise Data Science & AI Instructor, you will play a strategic role in supporting organizations in building data-driven capabilities and fostering analytical excellence. You will contribute to the development of professionals by delivering high-quality learning experiences, guiding participants through practical, real-world applications of Data Analytics, Machine Learning, and emerging AI technologies. This position role is ideal for individuals with strong technical expertise and a passion for enabling enterprise transformation through structured education, hands-on training, and continuous professional development

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Duties/Responsibilities

Complete development program designed to build instructional capability, technical competency, and delivery excellence for professional and corporate training environments. Support program delivery by preparing training materials, hands-on exercises, datasets, and real case study examples relevant to industry applications Contribute to the development and continuous improvement of learning content, frameworks, and educational tools for both public and corporate programs Collaborate with lead instructors and curriculum teams in planning and executing training programs, including acting as teaching support when required Provide mentoring and technical guidance to participants through online or offline support channels, ensuring timely and accurate responses to data and analytics-related inquiries. Maintain class administration and documentation, including attendance tracking, learning progress monitoring, assessment grading, and reporting.

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Minimum Qualifications

Bachelor's degree in areas related to but not limited to Mathematics, Computer Science, and Information Technology will be an advantage. Strong hands-on experience in Data Analytics, Machine Learning, and/or Generative AI (LLMs, RAG, prompt engineering, agentic workflow, etc.) Proficiency in Python (pandas, scikit-learn, LangChain) and SQL Familiar with Power BI/Tableau and end-to-end analytics or ML workflow Ability to explain complex concepts clearly to both technical and non-technical audiences Strong communication skills, presentation, and classroom-management skills Passionate about teaching, mentoring, and helping other learn Ability to work independently and collaboratively in a fast-paced learning environment