Key Responsibilities
The facilitator serves as the primary academic point of contact for learners, helping them understand AI/ML concepts, complete practical assignments, build projects, and remain motivated throughout their learning journey.
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Take end-to-end ownership of learner success, ensuring consistent engagement and timely course completion.
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Conduct learner orientation and induction sessions covering LMS navigation, course structure, assessments, project expectations, and learning timelines.
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Monitor learner progress against defined milestones and proactively follow up on pending assignments, projects, and assessments.
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Identify at-risk learners using engagement metrics and implement timely interventions to improve learner outcomes.
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Provide academic guidance on AI/ML concepts, programming fundamentals, assignments, capstone projects, and best practices.
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Review coding assignments, case studies, and AI/ML projects (where applicable) and provide clear, constructive, and actionable feedback.
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Conduct doubt-clearing sessions, technical mentoring sessions, office hours, and project reviews to strengthen learner understanding.
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Guide learners on GitHub usage, project documentation, model evaluation, experimentation, and deployment best practices.
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Encourage learners to build portfolio-ready AI/ML projects aligned with industry expectations.
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Ensure adherence to academic integrity, plagiarism policies, responsible AI practices, and institutional guidelines.
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Plan and execute learner engagement initiatives such as webinars, coding workshops, AI demonstrations, hackathons, discussion forums, and knowledge-sharing sessions.
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Support learners with research activities, literature reviews, project evaluations, and final capstone assessments (where applicable).
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Maintain accurate learner records and monitor engagement using the LMS and academic tracking systems.
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Analyze learner performance and share insights to improve completion rates, learner satisfaction, and overall program quality.
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Collaborate with curriculum, product, and content teams to recommend improvements based on learner feedback and industry trends.
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Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, and incorporate relevant insights into learner support.
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Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related discipline.
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Freshers or candidates with 2-3 years of experience in teaching, mentoring, technical training, academic support, EdTech, AI/ML, or Data Science are welcome.
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Strong conceptual understanding of the fundamentals of Artificial Intelligence and Machine Learning.
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Good knowledge of Python programming and machine learning workflows.
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Comfortable working in a self-paced digital learning environment.
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Willingness to handle learner follow-ups, technical mentoring, and academic coordination.
