AI/ML + AR/VR DEVELOPMENT INTERNS

Trialshopy

Noida, Uttar Pradesh, IndiaFresher17m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
TroubleshootingData analysisAccounting
Nice to have
Machine learningPythonData structures & algorithms
Work
On-site in Noida · internship
Pay
Not stated by the employer.
Skill demand
Machine learning45%Troubleshooting19%Data analysis18%of 99 similar fresher jobs posted in India this week
Listed
10 Nov 2026 · still open

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About the Role

This is a remote internship role for AI/ML + AR/VR Development Interns at Trialshopy.

Key Responsibilities

  • Assist in designing and implementing AR/VR experiences for features such as virtual try-ons and interactive product showcases.
  • Support AI/ML model development to improve recommendation systems, voice-assisted shopping, and real-time price comparisons.
  • Perform day-to-day tasks including data collection and preprocessing.
  • Prototype user interfaces.
  • Test AR/VR interactions.
  • Document technical work.
  • Collaborate with developers, designers, and product teams.
  • Troubleshoot issues.
  • Optimize performance across devices.
  • Contribute ideas to enhance user engagement on the platform.

Requirements & Tech Stack

  • Ability to work with Augmented Reality (AR) and Virtual Reality (VR) technologies and tools relevant to interactive shopping experiences.
  • Strong analytical skills and problem-solving abilities to support AI/ML model development, data analysis, and performance optimization.
  • Effective communication skills to collaborate with cross-functional teams and document technical concepts clearly.
  • Basic understanding of accounting or business metrics to interpret e-commerce performance data and seller payouts.
  • Familiarity with AI/ML fundamentals (e.g., Python, data structures, basic machine learning algorithms) is preferred.
  • Knowledge of 3D graphics, game engines (such as Unity or Unreal), or AR/VR frameworks is an advantage.
  • Ability to work independently in a remote environment, manage time effectively, and adapt to a fast-paced startup setting.

Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

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