Role Objective

The AI Faculty – Training & Operations will be responsible for delivering high-quality AI training and monitoring the student lifecycle to ensure standardized learning outcomes. The role involves curriculum design, hands-on training, learner engagement, and alignment of AI concepts with real-world industry applications.

Key Responsibilities

Training Delivery

- Deliver engaging classroom and hands-on training sessions on AI fundamentals, applications, and emerging technologies
- Explain AI concepts, tools, and theoretical foundations in a simplified, practical manner
- Demonstrate AI's role in improving efficiency across industries and domains

Curriculum & Content Development

- Design and develop AI curriculum, learning materials, activities, and projects
- Create industry-aligned, sector-specific AI training modules
- Ensure AI ethics, bias, and responsible AI practices are embedded in all training content

Hands-on Learning & Tools

- Conduct workshops using AI tools and platforms such as TensorFlow, OpenAI, and cloud-based AI solutions
- Guide learners on effective usage of AI tools including ChatGPT, Copilot, Perplexity, Gemini, and similar platforms
- Train learners on AI datasets, data collection, cleaning, preprocessing,



and annotation

Learner Monitoring & Engagement

- Track participant progress, engagement, and learning outcomes
- Modify training methods based on learner feedback and varying levels of AI literacy
- Support diverse learning styles to ensure effective knowledge absorption

Collaboration & Quality Assurance

- Collaborate with industry experts and Subject Matter Experts (SMEs) to maintain content accuracy and relevance
- Support continuous improvement of training strategies and delivery quality

Desired Candidate Profile

Education & Experience

- Bachelor's degree in Computer Science, Data Science, or a related field
- Minimum 1 year of experience in AI training
- Minimum 2 years of hands-on experience working with AI
- Overall 3+ years of training experience

Technical Skills & Knowledge

- Proficiency in Python or other machine learning programming languages
- Hands-on experience with AI tools, platforms, and data annotation processes
- Solid understanding of AI ethics and best practices
- Familiarity with machine learning model development and training

Preferred Qualifications

- Certification in AI or related courses

📌 AI Faculty Training (Nashik)
🏢 Anudip Foundation
📍 Nashik