Machine Learning (Modeling and Evaluation) Internship
Remote · પૂર્ણ-સમય ઇન્ટર્નશિપ
અરજી કરનારા સૌ પ્રથમ બનો
- સ્ટાઇપેન્ડ
- સ્ટાઈપેન્ડ: INR 10,000 – INR 15,000 / મહિનો
- સમયગાળો
- ૩ મહિના
- શરૂઆત
- તરત જ
- ઓપનિંગ્સ
- 5
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.
- કાર્ય મોડ
- ઘરેથી કામ કરો
- ફરી શરૂ કરો
- અરજી કરવી જરૂરી છે
ઇન્ટર્નશિપ વિશે
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.