Ai Instructor

Eligibility

• Graduates or Post Graduates candidates.
• Candidates with relevant academic, project, teaching or practical experience in AI/ML are preferred.
• Strong understanding of Python and Machine Learning concepts.

Responsibilities

• Conduct theoretical and practical training sessions on AI, ML and Data Science fundamentals.
• Teach Python programming with libraries such as NumPy, Pandas, OpenCV and Scikit-Learn.
• Conduct hands-on coding and AI model-building sessions.
• Guide students in developing and implementing basic AI/ML projects.
• Help students integrate AI with Robotics and IoT-based projects.
• Evaluate student projects, code and technical performance.
• Debug programming and implementation issues with students.
• Prepare and improve AI curriculum, assignments and practical exercises.
• Stay updated with current AI tools, technologies and industry trends.

Qualifications

• Excellent verbal and written communication skills
• Strong Python programming skills. • TensorFlow / PyTorch.
• Knowledge of Machine Learning fundamentals. • OpenCV and Computer Vision.
• Understanding of data manipulation and analysis.
• NLP.
• Experience with AI-based projects.