AI Engineer cum Data Scientist Trainer

Role Overview

We are looking for a passionate and experienced AI Engineer cum Data Scientist Trainer who can deliver industry-oriented training on Artificial Intelligence, Data Science, Machine Learning, and Generative AI technologies. The ideal candidate should have strong practical knowledge, real-world project experience, and excellent communication skills to mentor students and working professionals.

If you are passionate about teaching, mentoring, and building the next generation of AI professionals, we'd love to hear from you.

Responsibilities

• Deliver live online/offline training sessions on AI, Data Science, and related technologies.
• Design and update course content based on current industry trends.
• Train students on real-time projects, case studies, and hands-on assignments.
• Explain complex AI concepts in a simple and practical manner.
• Guide learners in building industry-ready portfolios and capstone projects.
• Conduct coding sessions, doubt-clearing classes, and mock interviews.
• Mentor students on career growth, certifications, and placement preparation.
• Evaluate assignments, projects, and student performance.
• Stay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science.
• Collaborate with the content and placement teams to improve learning outcomes.

Requirements

Experience: 5+ Years (Mandatory)

Qualification: B.Tech / M.Tech / MCA / B.E. (Computer Science/IT)

Communication Skills: Excellent English & Hindi (Mandatory)

• Strong practical knowledge in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.
• Proficiency in Python with AI, R Language with AI, and SQL / Database Languages.
• Experience with Data Analysis & Data Visualization tools like Power BI with AI or Tableau with AI.
• Familiarity with AI Frameworks & Integrations, including AI APIs & Integrations (OpenAI, Gemini, Claude, Hugging Face, etc.).
• Knowledge of Prompt Engineering.
• Preferred skills include LangChain, LangGraph, and Vector Databases.
• Experience with TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy.
• Familiarity with REST APIs and basic Docker.
• Exposure to Cloud (AWS/Azure/GCP) is an added advantage.
• Excellent presentation and teaching skills with a passion for mentoring.