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.