AI/ML Intern

Location:

Duration:

About Newton School of Technology:

Newton School of Technology (NST) is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a 4-year B.Tech in Computer Science and AI, focused on hands-on learning and deep industry integration. Within two years, over 93% of students have secured paid internships with companies like Razorpay, SarvamAI, and DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Led by a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO, Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building a scalable, high-impact model that produces industry-ready talent for the world’s most advanced technology roles. 

Key Responsibilities:-

1. Assist in AI/ML Content Development

• Help create and refine course material, lab exercises, and project templates for ML, Deep Learning, NLP, CV, and Generative AI.
• Prepare clean, well-documented Python notebooks.

2. Support Hands-On Labs & Projects

• Assist faculty during ML/DL lab sessions.
• Provide debugging support and help students understand foundational concepts.

3. Prototype & Experiment

• Build small ML models and demo projects under guidance (classification, regression, CNNs, transformers, GenAI apps).

4. Research & Documentation

• Explore new AI/ML tools, libraries, datasets, and summarize learnings.
• Document experiments, results, and best practices for reuse.

5. Collaborate with Faculty & Tech Teams

• Work with senior instructors, curriculum designers, and AI engineers to keep course content aligned with industry standards.

Qualifications:-

Education

• Pursuing or recently completed a Bachelor’s or Master’s degree in:

Computer Science

Data Science

AI/ML

Engineering (CSE/IT)

Or related fields

• Experience (Preferred but Not Mandatory)
• Academic or personal projects involving ML/DL
• Familiarity with Python-based ML workflows
• Participation in hackathons, Kaggle challenges, or research clubs is a plus.

Required Skills

• Strong Python skills
• Knowledge of ML libraries (NumPy, Pandas, Scikit-learn)
• Basic understanding of deep learning (CNNs, RNNs, transformers)
• Understanding of model evaluation, data preprocessing, and EDA
• Good debugging and problem-solving ability
• Strong communication and willingness to learn

Good-to-Have

• Experience with TensorFlow or PyTorch
• Understanding of NLP, Computer Vision, or Generative AI
• Familiarity with Git, notebooks, cloud basics (AWS/GCP/Azure)
• Previous tutoring/mentoring experience
• Ability to create clean notebooks and simple visualizations