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Data And Ai Intern Jobs in India 2026 — 1 Openings | Hiring4Jobs
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Data And Ai Intern Job Openings

Searching for a Data And Ai Intern position in India? This page aggregates 1 active listings from top companies, refreshed daily so you always see the latest opportunities.

Showing 1 job for Data And Ai Intern

What Does a Data And Ai Intern Do?

The Data And Ai Intern role has evolved significantly in recent years — blending traditional engineering skills with cloud infrastructure, automation, and data fluency.

2026 has seen a notable uptick in data and ai intern hiring as companies invest in digital transformation, cloud migration, and AI adoption.

How to Prepare for a Data And Ai Intern Interview

  • Revise core concepts specific to the Data And Ai Intern domain — interviewers test depth of knowledge, not just surface familiarity.
  • Tailor your cover letter to mention the specific role and company.
  • Practise explaining your past work clearly and concisely, focusing on the problem you solved and the measurable outcome.
  • Salaries are increasingly competitive due to high demand for skilled tech talent across India.

Frequently Asked Questions

What qualifications do I need for a Data And Ai Intern role?
Most Data And Ai Intern openings require a B.E./B.Tech or MCA degree in Computer Science or a related field. Some roles also accept candidates with relevant certifications and demonstrable project experience.
What is the average salary for a Data And Ai Intern in India?
Entry-level Data And Ai Intern roles typically start between Rs.3-6 LPA, while experienced professionals can earn Rs.12-30+ LPA at top product and service companies. Salaries vary by city and experience.
Which cities in India have the most Data And Ai Intern openings?
Bengaluru, Hyderabad, and Pune consistently have the highest volume of Data And Ai Intern openings, followed by Chennai, Mumbai, and Noida. Remote options are also available with select companies.
How do I improve my chances of getting a Data And Ai Intern job?
Build a strong portfolio with real projects, contribute to open-source if possible, earn relevant certifications, and practise data structures and system design questions before interviews.