Job Description

About the Role

We are looking for a passionate

AI/ML Trainer Intern

who loves teaching and sharing knowledge! As part of our training and education team, you'll help learners understand the core concepts of Artificial Intelligence and Machine Learning through interactive sessions, workshops, and hands-on examples.

This is a great opportunity for individuals who have a good grasp of AI/ML fundamentals and want to enhance their communication and mentoring skills while contributing to an active learning community.

Key Responsibilities

Conduct online or offline training sessions on

AI, Machine Learning, and Data Science

topics Prepare easy-to-understand

teaching materials

, slides, and examples Guide students through

practical exercises, projects, and assignments

Clarify concepts and answer questions related to Python, ML algorithms, and AI frameworks Evaluate learners' progress and provide constructive feedback Stay updated with the latest AI/ML tools, trends, and advancements

Required Skills

Strong understanding of

Python, Machine Learning, and AI fundamentals

Familiarity with frameworks such as

scikit-learn, TensorFlow, or PyTorch

Excellent

communication and presentation

skills Patience and enthusiasm for teaching others Ability to explain technical concepts in simple language

Eligibility

Pursuing or recently completed a bachelors degree in

Computer Science, AI, Data Science, or related fields.

Prior teaching, mentoring, or tutoring experience is a plus (not mandatory).

What You'll Gain

Opportunity to build your teaching profile in the AI/ML domain. Experience in content creation and technical communication. Mentorship from senior trainers and AI professionals. Internship certificate and letter of recommendation upon successful completion. An offer for a full-time role based on performance and achievements.
Job Type: Internship
Contract length: 3 months

Pay: ₹10,000.00 - ₹15,000.00 per month

Ability to commute/relocate:

New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred)
Shift availability:

Day Shift (Required)
Work Location: In person