AI/ML & Data Science Internship, Stipend ₹5,500, Apply by Jan 12

AICTE and ReIntenSpark Technology have announced a virtual internship in AI, Machine Learning, and Data Science.
The program is open to candidates across India and runs for two months, starting January 7, 2026. It is a fully remote program focused on real use cases in AI and ML that match current industry needs.
The internship offers a monthly stipend of ₹5,500. There are 50 openings in total. Applications are open until January 12, 2026.
Learning Goals and Program Structure
This internship is built to close the gap between classroom learning and on-the-job work. It combines core concepts with hands-on tasks using real datasets and practical problems.
Interns will work through the full machine learning process, including data collection, data cleaning, model building, testing, optimization, and basic deployment. The program starts with Python basics and moves into machine learning methods. It also includes an intro to deep learning and neural networks.
Participants will complete small projects and a final capstone project. These tasks cover prediction, classification, regression, and data-based decision making using common ML tools.
Eligibility, Benefits, and Terms
The program is open to candidates from any academic background. Applicants must be available for the full two months and show interest and basic skills in AI and ML.
Interns will gain hands-on work experience on real AI and ML projects and receive guidance from experienced mentors. They will also use widely used tools such as TensorFlow, PyTorch, and Scikit-learn.
Other benefits include stronger problem-solving skills, better job readiness, added value to resumes, and chances to connect with industry professionals.
ReIntenSpark Technology also shared that top performers may be considered for full-time roles or pre-placement offers, making this internship a solid first step for those aiming for a career in AI and data science.
Interested candidates can visit the AICTE Internship Portal and apply.
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