Artificial Intelligence and Machine Learning Faculty

Role

AI & Machine Learning Faculty (AI Engineer Trainer) responsible for delivering practical, hands‑on training in AI, automation, and development. The role requires building and deploying real-world AI solutions, explaining concepts through demos and projects, and assisting students with studio projects and bootcamps.

Key Responsibilities

• Deliver hands-on training sessions on AI, automation, and full‑stack development.
• Explain concepts using demos, projects, and real-world examples.
• Assist students in building AI-based solutions and guide project work.
• Keep sessions practical, engaging, and focused on applied learning.

Technical Skills & Tools

• Full‑stack development: Node.js, Next.js, Python, JavaScript
• APIs & version control: REST APIs, GitHub
• Databases: MongoDB, MySQL, PostgreSQL
• Deployment and production knowledge
• AI / LLM tooling and concepts: RAG (Retrieval-Augmented Generation), embeddings, LLMs, prompt engineering
• Platforms and automation: n8n, Google AI Studio, Codex, Claude Code, vibe coding

AI Skills

• Prompt engineering
• Workflow automation
• LLMs and RAG implementations

Requirements

• Minimum 1 year experience in IT / AI / development
• Hands-on project experience building and deploying AI solutions
• Strong coding and deployment skills
• Ability to teach clearly and communicate effectively in English, Bengali, and Hindi

Compensation

• ₹20,000 - ₹28,000 per month (as stated in the posting)

Additional Notes

• Work location: In person
• Candidates will be asked to describe a deployed AI project and to confirm proficiency in ML, databases, and backend development.