AI/ML research Intern

Company Description
Kensara.ai is an AI-native compliance firm specializing in India’s Digital Personal Data Protection Act (DPDPA), helping organizations move from manual audits and uncertainty to clear, continuous, and auditable compliance. The company combines autonomous AI agents with experienced privacy professionals to provide end-to-end support, including data mapping, consent and rights management, DPIAs, policy drafting, vendor assessments, breach readiness, and ongoing monitoring. Built for Indian startups, SMEs, and enterprises, Kensara.ai offers fast, reliable, and affordable compliance without reliance on spreadsheets or fragmented tools. The platform serves digital-first and AI-first companies, including SaaS, fintech, healthtech, and marketplaces preparing for audits or investor diligence, as well as service providers that must demonstrate strong DPDPA posture. Kensara.ai’s mission is to make DPDPA compliance faster, clearer, and more trustworthy so companies can scale confidently.
Role Description
This is a part-time AI/ML Research Intern role based in the Greater Delhi Area with a hybrid work arrangement, allowing some work from home. The intern will support research on AI-driven compliance solutions, including literature reviews on privacy, data protection, and machine learning methods relevant to DPDPA. Day-to-day tasks include collecting and preprocessing data, experimenting with ML models, documenting findings, and assisting in building prototypes that enhance Kensara.ai’s compliance platform. The intern will collaborate with AI engineers and privacy experts, contribute to evaluation of model performance, and help draft research summaries, internal reports, and technical notes for product teams.
Qualifications
Strong foundation in Finance and Accounting, with the ability to interpret and apply financial concepts to compliance-related research.
Ability to analyze and prepare Financial Statements, including understanding data structures and their implications for risk and compliance.
Competence in Journal Entries (Accounting) and related processes, supporting accurate representation of financial events in research and documentation.
Demonstrated Analytical Skills for working with quantitative and qualitative data, evaluating model outputs, and drawing clear conclusions.
Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, Finance, or a related field.
Basic understanding of AI/ML concepts (e.g., supervised learning, classification, clustering) and familiarity with Python or similar languages is preferred.
Interest in data protection, privacy regulations, or compliance technology; exposure to DPDPA or other data protection frameworks is an advantage.
Ability to work independently, manage part-time hours effectively in a hybrid setup, and collaborate with cross-functional teams in a startup environment.

Work arrangement
No