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インターンシップ 在宅勤務

Machine Learning (Modeling and Evaluation) Internship

Primetrade.ai

Remote ・フルタイムインターンシップ

最初に応募しよう

手当
手当:月額10,000~15,000インドルピー
間隔
3ヶ月
始める
すぐに
求人情報
5
応募資格者

Candidates must be available for a work-from-home internship, able to start between 1 July 2026 and 5 August 2026, ready to commit for 3 months, and have relevant skills and interests.

作業モード
在宅勤務
再開する
応募必須

インターンシップについて

About the internship

This work-from-home internship focuses on packaging machine learning prototypes into repeatable, well-structured runs and building dependable evaluation and inference workflows. You will help make AI/ML experiments easier to reproduce, monitor, and maintain.

What you'll do

  • Turn AI/ML prototypes into reproducible executions using proper configurations and environment setup.
  • Create batch processing and inference scripts that produce structured JSON metrics output.
  • Set up basic CI practices such as lint checks and testing, and use Docker for containerization where needed.
  • Maintain experiment records and outputs in a clear, organized way.
  • Strengthen reliability by adding timeouts, retries, and graceful failure handling.

Who can apply

Applications are open only to candidates who can work remotely, are able to begin between 1 July 2026 and 5 August 2026, can commit to a 3-month internship, and have relevant skills and interest in the role.

Stipend

The internship offers a monthly stipend of INR 10,000 to 15,000.

Other requirements

  • Working knowledge of Docker is preferred.
  • Experience with deployment or pipeline-related projects, along with project links, is preferred.
  • Strong debugging ability and a disciplined approach to troubleshooting are important.

Additional information

The application deadline is 31 July 2026 at 11:59:59 PM. The company is a niche AI and blockchain venture studio that supports multiple product startups working in advanced AI and blockchain domains.

Perks

A job offer may be provided to strong performers.

Location

Although the organization is based in Hyderabad, Telangana, this role is fully remote.

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