Machine Learning Instructor

November 24, 2025

Role: AI/ML Workshop Instructor (5-Day Intensive Program)Dates: 2nd Week January 2026 Timing: 10:00 AM – 5:00 PM daily Venue: Delhi Technological University (DTU), Delhi Organized by: MindLit AcademyRole SummaryWe are seeking an experienced AI/ML professional to lead a 5-day beginner-friendly workshop for college students. The instructor will deliver practical, hands-on sessions covering Python fundamentals, AI/ML basics, data preprocessing techniques, core machine learning models, the California Housing Project, and introductory concepts of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. The workshop will conclude with students building a complete resume-parsing ATS module.This role requires a strong industry background, the ability to simplify complex topics, and a passion for teaching. The instructor’s profile will significantly influence the workshop’s impact and student motivation.What Success Looks Like in This Position<ul><li>Students grasp core concepts and can apply them independently throughout the workshop.</li><li>Participants complete the final resume-parsing ATS project with functional outputs.</li><li>Sessions are interactive, engaging, and suited to absolute beginners.</li><li>Real-world industry examples and best practices enhance the learning experience.</li><li>Students finish the program confident and inspired to pursue AI/ML further.</li><li>Positive feedback reflects strong teaching quality and session clarity.</li></ul>How This Role Fits Into Our OrganizationWe hosting this workshop, the role is central to delivering high-quality, industry-relevant AI/ML education. The instructor helps build our reputation for impactful, practical training by bridging academic learning with real-world applications. Their expertise is key to ensuring that students receive a meaningful and career-oriented learning experience.Responsibilities<ul><li>Deliver structured lessons covering Python, AI basics, and machine learning fundamentals.</li><li>Teach data preprocessing techniques like one-hot encoding, R1/R2, min-max scaling, and handling outliers, etc.</li><li>Guide and explain to students various ML models development and deployment.</li><li>Introduce foundational concepts of LLMs, RAG systems, Agentic AI, and related tools.</li><li>Lead the final hands-on project where students build a resume-parsing ATS module.</li><li>Provide mentoring, answer questions, and ensure student understanding across varying skill levels.</li><li>Prepare teaching materials, examples, demos, and real-life case studies.</li><li>Evaluate student progress and give constructive feedback.</li><li>Coordinate with the organizing team to ensure smooth execution of the workshop.</li></ul>Qualifications<ul><li>Minimum 3+ years of industry experience in AI/ML, data science, or related fields.</li><li>Strong proficiency in Python, machine learning algorithms, and data preprocessing.</li><li>Experience with LLMs, RAG workflows, or Agentic AI systems (preferred).</li><li>Ability to clearly explain technical topics to beginners.</li><li>Prior teaching, mentoring, or training experience is a strong plus.</li><li>Excellent verbal and written communication skills.</li><li>Ability to design and guide hands-on student projects.</li><li>Bachelor’s or Master’s degree in CS, Data Science, AI/ML, Engineering, or related fields (preferred but not strictly required).</li></ul>

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