Walmart Global Tech
Grad Intern (AI / Software)
ClosedThis opening has closed. New ones like it are posted on WhatsApp every day.
Get new jobs on WhatsApp- Location
- Bengaluru
- Work mode
- See listing
- Experience
- Students · 2027 batch
- Pay
- ₹50K–80K / month (Est.)
- Type
- Internship
- Added
- 2 November 2026
About this role
This internship is with Walmart Global Tech India's Marketplace Data Science team, which builds AI solutions to raise revenue and cut operating costs. The intern researches and experiments with AI approaches, either improving existing solutions or trying new ones and judging their scientific merit. Successful work is then integrated into Marketplace data science solutions. The posting also describes working with developers writing code for large-scale systems. It suits engineering students graduating in 2027 with strong computer science fundamentals.
Walmart Global Tech was hiring for Grad Intern (AI / Software), an internship based in Bengaluru.
Who can apply: Students · 2027 batch. Skills: C/C++, Java, Data Structures, Algorithms, OOP, AI/ML.
This opening has closed (closed on 2026-11-03). Open roles like it are listed on this page and at hirastra.com/jobs.
What you'll do
- Experiment and research on AI solutions relevant to Marketplace
- Work on problems to improve current solutions or try new approaches
- Evaluate the scientific merit of the approaches tried
- Integrate the output of the work into Marketplace data science solutions
- Write code with a team of developers on large-scale systems
What you need
- Currently pursuing a bachelor's/master's or equivalent engineering degree, graduating in 2027
- Combined aggregate score of 7 or above across all semesters
- Sound understanding of Data Structures, Algorithms and Object Oriented Programming and Design
- Good command of one programming language among C, C++ or Java
- Strong problem-solving, analytical and communication skills
Skills
- C/C++
- Java
- Data Structures
- Algorithms
- OOP
- AI/ML
"Est." = Hirastra's estimate based on market data, not an official figure.
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