AI/ML Technical Trainer Intern

About The Role

We are looking for a passionate AI/ML Technical Trainer Intern to support training delivery, mentoring, and project facilitation for our AI Accelerator Program. In this role, you will help engineering students learn Python, Machine Learning, Deep Learning, Data Science fundamentals, and guide them through real-world projects.

This internship is ideal for someone who wants to grow their career in technical training, AI education, ML engineering, L&D, or academic mentoring.

Key Responsibilities

• Training Assistance & Delivery Support

• Assist in delivering sessions on Python programming, Machine Learning algorithms, Deep Learning models, Data Science workflows, and industry practices.
• Break down ML concepts into simple, easy-to-understand explanations with examples.
• Support hands-on labs, coding exercises, and project walkthroughs.

• Curriculum & Content Development

Contribute to developing training modules for AI/ML, Data Science, Model Deployment, MLOps basics, and Cloud concepts.

Help build mini-projects, datasets, notebooks, and capstone workflows used by learners.

• Mentorship & Learner Support

  Guide students in solving coding challenges, debugging ML models, and understanding algorithms.

• Provide feedback on assignments, GitHub submissions, and project milestones.
• Support learner performance tracking and maintaining progress reports.

• Program Coordination & Execution

  Work closely with internal teams to ensure smooth training operations.

• Assist in coordinating assessments, evaluations, internship readiness checks, and report preparation.
• Engage learners, resolve queries, and maintain a high-quality learning environment.

Required Skills & Qualifications

0-1 years of academic or practical experience in AI/ML, Data Science, Python programming, or Technical Training (internships, projects, freelance teaching included).

• Strong knowledge of Python, NumPy, Pandas, scikit-learn.
• Basic understanding of TensorFlow or PyTorch, Neural Networks, and ML model building.
• Familiarity with MLOps fundamentals, version control (Git), and cloud platforms (AWS/Azure/GCP) is a plus.
• B.Tech/M.Tech/MCA or equivalent background in Computer Science, AI, ML, Data Science, or related fields.

Preferred Attributes

• Experience teaching, mentoring, or conducting workshops (college clubs, bootcamps, MOOCs, etc.).
• Strong communication and presentation skills.
• Passion for AI/ML education, coaching, and developing early-career talent.

What You Will Get

Paid stipend during the internship.

PPO opportunity based on performance.

• Hands-on learning in Python, ML, DL, MLOps & real-world projects.
• Mentorship from experienced AI/ML engineers & trainers.
• Opportunity to build a strong portfolio + teaching experience.