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EngineeringNew🎯 Internship

Razorpay DS/ML Intern

Unknown
6 hours ago
Location

Bangalore

Salary

₹80-85 K/Month

Apply By

ASAP

Views

4

Eligible Batches

🎓 2026 Batch🎓 2027 Batch

Job Description

Join our team in building a whole product from scratch, working on AI feature evaluation systems, model routing, and MLOps.

Roles & Responsibilities

Work on AI feature evaluation systems Develop model routing and MLOps Contribute to building a whole product from scratch

Requirements

Hands-on DS/ML experience Builder's instinct Programming skills in one or more languages

Nice to Have

A builder's instinct — genuinely curious about product decisions, backend, and frontend code Ability to think through the product itself and untangle data pipelines

Eligibility Criteria

B.Tech/B.E. 2026/2027 Batch

Tech Stack & Ecosystem

AIMachine LearningDeep LearningMLOps

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Quick Info

TypeInternship
RoleDS/ML Intern
Work Mode🏢 On-site
Eligible Batches
20262027

Tech Stack

AIMachine LearningDeep LearningMLOps

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Career Advice

Company Insights

Working at a razorpay-like company as a DS/ML Intern can be a game-changer for your career. Not only will you have the opportunity to work on cutting-edge projects that can impact millions of users, but you will also be part of a dynamic and innovative team that is constantly pushing the boundaries of what is possible with AI and ML. Additionally, being part of a product company from scratch, you get to wear multiple hats, be it a data scientist, machine learning engineer, or an architect, where you can experiment with novel solutions and drive the overall direction of the product. This experience will equip you with the skills, knowledge, and confidence to take on leadership roles in the future and drive business growth through data-driven decision making.

Interview Guide

To ace an interview for this role, focus on showcasing your hands-on experience with DS/ML technologies and your ability to work on complex projects. Prepare to talk about your experience building AI feature evaluation systems and model routing in production environments. Be prepared to back your answers with examples and walk the interviewer through your design decisions. Additionally, practice communicating technical concepts to non-technical stakeholders, as this is a key requirement for this role. Finally, demonstrate your passion for ML and AI and express your enthusiasm for contributing to a product company from its early stages. Prepare to take a mock interview with a friend or family member to get comfortable with the behavioral and technical questions that you might be asked.