Data Science & Benchmarks Internship
Faridabad, Haryana, India · Full Time internship
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- Stipend
- Stipend: INR 30,000 – INR 35,000 / month
- Duration
- 3 months
- Start
- Immediately
- Openings
- 2
Applicants eligible must be able to commit full-time to an on-site internship starting between early September and early October 2026, available for three months, and reside in or near the cities of Faridabad, Delhi, Gurgaon, Jaipur, Noida, or Roorkee. They should have the required skills and enthu…
- Work mode
- In office
- Resume
- Required to apply
About the internship
About Arakoo
Arakoo is a pioneering open-source startup dedicated to developing infrastructure for advanced AI models akin to ChatGPT, Anthropic, and Bard. Their core technology, EdgeChains, enables the construction of expansive distributed large language model AI frameworks, merging cutting-edge algorithmic research with robust infrastructure and DevOps practices to facilitate smooth scaling.
Responsibilities
- Use Python and SQL to clean, manipulate, and analyze extensive datasets effectively.
- Contribute to the deployment of reinforcement learning models and optimized training pipelines.
- Perform comprehensive data analysis to detect trends, patterns, and irregularities.
- Assist in maintaining data integrity through quality assurance processes.
- Keep abreast of the newest advancements in reinforcement learning and relevant technologies like Harbor, Skyrl, and Tinker to enhance product development.
Eligibility Criteria
- Applicants must be available for a full-time, in-office internship.
- Internship start date should be between 3rd September 2026 and 8th October 2026.
- Candidates should commit to the entire 3-month internship duration.
- Residency required within Faridabad, Delhi, Gurgaon, Jaipur, Noida, or Roorkee.
- Applicants must possess pertinent skills and a keen interest in related domains.
Perks and Benefits
- Internship certificate upon completion.
- Letter of recommendation to support career advancement.
- Flexible working hours to accommodate individual needs.
- Casual dress code promoting a comfortable work environment.
- Complimentary snacks and beverages provided.