Machine Learning Intern

Kidsneuron

  • Remote (India)
  • Internship
  • Posted 2 Nov 2026

Kidsneuron has a three-month remote Machine Learning internship. It involves model development and evaluation for educational applications, with Python, R and NLP in the stated stack.

What the work involves

The intern works with data scientists on models, analyzes data, compares algorithms and helps design AI features. Research and presentation of results are part of the work, alongside collaboration rather than independent ownership of an unspecified research programme.

Show a model comparison with a baseline, held-out evaluation and a discussion of errors. Ask which dataset, project and review process are assigned during the internship.

Who can apply

3 months; relevant ML skills. No specific degree or batch stated.

  • Python/R, data analysis and machine learning.
  • NLP and deep learning foundations.
  • Experiments and clear results reporting.

Location, pay and application

Work from home. The source states INR 12000-19000/month total; fixed INR 10,000 - 15,000/month plus incentives INR 2,000 - 4,000/month.

The total INR 12,000-19,000/month includes fixed INR 10,000-15,000 plus incentive INR 2,000-4,000. No conversion guarantee is stated. Apply by 2026-12-02. The opening is employer-posted on Internshala; use that platform for the full description and application. Internshala may require an account/profile to apply.

Prepare your application

Use a relevant project or work example to show what you built, how you tested it and which parts you owned. Match the stated skills honestly. An unspecified experience range does not mean that freshers automatically qualify.

The source publication date is 2026-11-02. Availability was checked on 3 November 2026. Review the full source and its latest terms before applying.

Machine Learning Intern at Kidsneuron. Applications happen on the named source, not on GetFirstJob. GetFirstJob does not collect resumes or charge candidates; never pay an application or interview fee.

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