AI Advanced Trainer

Role & responsibilities

• Teach advanced concepts of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
• Explain end-to-end AI development workflows - from data preprocessing, model building, deployment to monitoring.
• Demonstrate how to

  develop AI-powered applications

  using modern web and mobile frameworks.
• Build and showcase

  AI-integrated websites, dashboards, mobile apps, or backend services

  for real-world use cases.
• Train students in

  Java Full Stack technologies

  including Core Java, Spring / Spring Boot, REST APIs, HTML, CSS, JavaScript, and databases.
• Demonstrate how to embed AI features into full-stack solutions (e.g., chatbots, recommendation engines, predictive analytics tools).
• Mentor students in building complete production-grade applications from frontend to backend.
• Collaborate with the academic team, placement coordinators, and tech stakeholders to ensure smooth program execution.

Stay updated on AI/ML advancements, frameworks, libraries, and full-stack trends to enhance training quality

Travel & Coordination

• Visit and engage with

  5 designated colleges once a week

  to check on the colleges and the developments from the other trainers.

Work closely with faculty, center managers, and project teams for smooth execution of training programs.

Preferred candidate profile

• Education:

  B.Tech / M.Tech in

  Computer Science

  ,

  Data Science

  ,

  Artificial Intelligence

  ,

  Machine Learning

  , or a related discipline.

• Technical Competencies:

- Familiarity with Data Analytics, Machine Learning basics, and algorithmic thinking.

- In depth understanding of AI concepts, Python programming, and data handling.

- Strong communication and presentation skills.

• Preferred Experience:

- Prior experience working in an NGO adds advantage but not mandatory

- Prior teaching/training experience is mandatory.