AI/ML Intern

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