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AI & Data Engineering Intern

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Onsite

AI & Data Engineering Intern

Kotak Securities

AI & Data Engineering Intern

Skills

Data EngineeringPythonAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

19 August 2026

What they need


About Us:

Kotak Institutional Equities’ Derivatives desk is among the top brokers for foreign institutional investors. Our clientele includes every major hedge fund active in the market. The team handles every aspect of market analysis, from trade idea generation to execution, and is looking for suitable candidates to contribute to its data and AI capabilities.

Interns will have the opportunity to work on real-world, high-impact projects at the intersection of data, technology, AI and capital markets, while gaining exposure to an institutional trading environment.

Role Description: AI & Data Engineering Intern

  • Develop Python and AI based solutions to automate and digitize data-intensive workflows.

  • Build low-latency pipelines to capture, process and analyze real-time structured and unstructured data.

  • Apply AI and NLP techniques to extract actionable information from documents and text.

  • Design reliable systems for data ingestion, validation, storage and real-time alerting.

  • Coordinate with Trading, Data and Technology teams to deliver production-ready solutions.

Internship Details

  • Three month, Six-month, in-office internship in BKC, Mumbai.

  • Open to pre-final-year and final-year students from IITs, BITS and other leading engineering institutes.

Skills Required

  • Advanced proficiency in Python, data engineering, NLP/LLMs, document processing and real-time systems is a must.

  • Strong analytical and problem-solving skills.

  • Ability to write clean, efficient and production-quality code.

  • Interest in AI, data engineering and capital markets.

  • Ability to work effectively in a fast-paced environment.

  • High degree of ownership, curiosity and attention to detail.

  • Knowledge of financial markets is preferred but not mandatory.

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