Data Operations, Intern

Company Description Sarvam is building the foundation of Sovereign AI for India, creating an ecosystem that enables governments, enterprises, and nonprofits to deploy secure and context-aware generative AI solutions. As a full-stack Generative AI platform, Sarvam develops sovereign models that deeply understand India’s culture, languages, and diversity, powering AI agents and applications tailored to the nation’s needs. The company is backed by leading investors, including Lightspeed, Peak XV, and Khosla Ventures, reflecting strong confidence in its mission and technology. Sarvam’s flagship product, Indus, is live in beta, giving users early access to cutting-edge AI capabilities focused on India.
Role Description The Data Operations Intern will support the design, management, and quality assurance of data pipelines that power Sarvam’s AI models and applications. Day-to-day responsibilities include collecting, cleaning, organizing, and labeling datasets; monitoring data workflows; and helping ensure data accuracy, consistency, and reliability across systems. The intern will collaborate with engineering and product teams to document data processes, run basic analyses, and prepare reports or dashboards that inform model improvements and product decisions. This is an internship role with a hybrid work arrangement, primarily based in Bengaluru, with some flexibility for working from home as needed.
QualificationsCandidates should possess strong data handling skills, including experience with data cleaning, manipulation, and validation using tools such as spreadsheets, SQL, or basic scripting.Candidates should possess foundational analytical skills, including the ability to interpret datasets, generate insights, and present findings clearly using simple reports, charts, or dashboards.Candidates should possess basic technical skills relevant to data operations, such as familiarity with databases, version control tools, or workflow automation concepts.Candidates should possess organizational skills to manage multiple data tasks, document processes clearly, and maintain meticulous records and data quality standards.Candidates should possess effective communication and collaboration skills to work with cross-functional teams and follow structured feedback and review processes.Enrollment in or completion of a degree in Computer Science, Data Science, Engineering, Statistics, or a related field is preferred.An interest in AI, machine learning, and India-centric technology solutions, along with a willingness to learn new tools and methodologies, will be highly beneficial.

Work arrangement
Hybrid