Job highlights

- Teaching Experience: Prior experience in teaching or training,particularly in a freelance or remote capacity,is highly desirable
- Training Delivery: Conduct live,interactive training sessions via online platforms,teaching essential AI skills such as algorithm design,neural network architecture,model optimization,and AI deployment strategies
- Course Development: Design and develop comprehensive training programs in Artificial Intelligence, targeting beginner, intermediate, and advanced learners. Topics include AI fundamentals, machine learning, deep learning, natural language processing, and AI ethics.
- Content Creation: Create and update instructional materials, including presentations, coding exercises, datasets, real-world projects, and case studies that reflect the latest AI trends and industry standards.
- Training Delivery: Conduct live, interactive training sessions via online platforms, teaching essential AI skills such as algorithm design, neural network architecture, model optimization, and AI deployment strategies.
- Student Assessment: Monitor and evaluate student progress through quizzes, assignments, and practical projects. Provide constructive feedback to enhance their understanding of AI concepts and skills.
- Support and Mentorship: Offer personalized support to students, answering questions and assisting them with troubleshooting code, model performance, and understanding complex AI algorithms.
- Continuous Improvement: Stay updated with the latest advancements in AI, including current tools, frameworks, and methodologies, and integrate these advancements into the training content.

Qualifications:





For Experienced Professionals

- Experience: Minimum of 2-5 years of professional experience in AI, including hands-on experience with AI algorithms, machine learning models, and data-driven decision-making.
- Teaching Experience: Prior experience in teaching or training, particularly in a freelance or remote capacity, is highly desirable.
- Technical Skills: Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with programming languages like Python or R. Familiarity with AI deployment on cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Certifications: Relevant certifications in AI (e.g., Microsoft AI Certification, Google Professional Machine Learning Engineer) are preferred but not mandatory.
- Communication Skills: Excellent communication skills, with the ability to break down complex AI concepts into engaging and understandable lessons.

For Freshers:
- Education: A degree or certification in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field.
- Technical Skills: Foundational knowledge of AI and machine learning concepts gained through academic coursework, self-study, internships, or personal projects. Familiarity with Python and AI libraries such as TensorFlow, Keras, or Scikit-learn.
- Passion for Teaching: A strong desire to teach and mentor students in AI, with a commitment to developing effective instructional techniques.
- Communication Skills: Strong verbal and written communication skills, capable of making complex AI topics accessible to diverse audiences.

📌 Artificial Intelligence (AI) Trainer (Supaul)
🏢 Aryavart Institute of Technology
📍 Supaul