Trainer-AI/ML

Key Accountabilities/Activities:

Primary Responsibilities:

• Deliver practical and engaging AI/ML training to students.
• Teach Python, Machine Learning, Deep Learning, NLP, Generative AI, and related concepts.
• Conduct hands-on sessions, assignments, assessments, and projects.
• Mentor students and guide them in AI/ML project development.
• Develop and update training content as per industry requirements.
• Track learner performance and provide regular feedback.
• Stay updated with the latest AI/ML technologies and tools

Secondary Responsibilities:

• Requisition for Consumables: Submit requisitions for necessary teaching supplies and materials.
• HR-related Functions: Manage own personal attendance, leaves, and other HR-related duties.
• Batch Performance Dashboard: Monitor and evaluate the performance of the class using the batch performance dashboard.
• Create a Batch: Constitute and set up a new batch for the course.
• Maintain Scorecard for Each Student: Track and update student scores regularly in the scorecard.
• View Batch Calendar: Access and plan for upcoming guest lectures, industry visits, and other scheduled activities.
• Stay updated on academic and industry trends: Stay updated on industry trends to enhance course delivery.
• Participate in faculty meetings: Participate in meetings and training sessions as required.