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🚀 Razorpay DS/ML Intern Recruitment 2026 | Bangalore | AI, Machine Learning, LLMs & MLOps Internship | Freshers & Students Apply | Placement Officer
📌 Quick Summary
Are you passionate about Artificial
Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Data
Science, and MLOps? Razorpay, one of India's leading FinTech
unicorns, is hiring DS/ML Interns for its Engineering Team in
Bangalore.
This internship is designed for
students and recent graduates who love building real-world AI products rather
than just experimenting with models. Interns will work on LLM evaluation
systems, AI model routing, MLOps, statistical analysis, production ML systems,
prompt engineering, backend development, and data pipelines, while
collaborating with experienced engineers to build cutting-edge AI solutions.
📍 Location:
Bangalore, Karnataka
🏢 Work Mode: On-site
💼 Role: DS/ML Intern
🎓 Eligible: Students & Recent Graduates in CS, AI, ML, Data
Science, and Related Fields
🌟 Razorpay DS/ML Internship 2026 – Overview
|
Particular |
Details |
|
Company |
Razorpay |
|
Position |
DS/ML Intern |
|
Department |
Engineering |
|
Job Type |
Internship |
|
Work Mode |
On-site |
|
Location |
Bangalore,
Karnataka |
|
Experience |
Students
& Fresh Graduates |
|
Domain |
AI, Machine
Learning, Data Science, MLOps |
|
Employment
Type |
Internship |
🏢 About Razorpay
Razorpay is one of India's fastest-growing
FinTech companies, providing payment solutions, banking services, payroll,
lending, and financial infrastructure to millions of businesses. The company is
known for its innovation-driven engineering culture and offers interns an
opportunity to work on large-scale production systems powered by Artificial
Intelligence, Machine Learning, Cloud Computing, and Data Engineering.
Joining Razorpay means working with
experienced engineers, solving real-world business challenges, and contributing
directly to products used by businesses across India.
💼 Detailed Internship Description
Unlike traditional research-focused
internships, the DS/ML Intern role at Razorpay emphasizes a builder
mindset. Interns are expected to develop production-ready AI systems while
contributing across engineering, backend development, product thinking, and
data pipelines.
You will gain hands-on experience
with:
·
Large Language
Models (LLMs)
·
AI Evaluation
Systems
·
Machine
Learning Pipelines
·
Production
MLOps
·
Statistical
Modeling
·
AI
Infrastructure
·
Prompt
Engineering
·
Model
Monitoring
🎯 What You'll Work On
🤖 AI Evaluation Systems
You'll help build evaluation
frameworks for AI features by working on:
·
Failure
taxonomies
·
LLM-as-a-Judge
frameworks
·
Golden
datasets
·
Prompt
calibration
·
Human
evaluation benchmarking
⚡ Model Routing & Inference Optimization
You'll participate in:
·
Model routing
strategies
·
Cost
optimization
·
Latency
optimization
·
AI
experimentation
·
Performance
regression analysis
📊 Data Science & Statistical Analysis
You'll:
·
Convert noisy
business data into reliable metrics
·
Build
trustworthy scoring systems
·
Apply
statistical reasoning
·
Measure AI
model performance
·
Improve signal
quality
🚀 MLOps & Production AI
Gain practical exposure to:
·
Feature
pipelines
·
Model
versioning
·
Model
deployment
·
Drift
detection
·
Production
monitoring
·
Low-latency AI
serving
🎓 Eligibility Criteria
Applicants should be:
·
Currently
pursuing or recently completed a degree in:
o Computer Science
o Data Science
o Artificial Intelligence
o Machine Learning
o Information Technology
o Related Engineering Disciplines
🎯 Batches Eligible
Based on the internship eligibility
and hiring pattern, the following batches are expected to be eligible:
✅ 2026 Batch
✅ 2027 Batch
✅ 2028 Batch (if pursuing relevant
degree)
Recent graduates with strong
project portfolios are also encouraged to apply.
📍 Internship Location
📌 Bangalore, Karnataka
🏢 Work Mode: On-site
💰 Expected Stipend (Estimated)
Razorpay has not officially disclosed
the internship stipend. Based on similar AI/ML internships at leading Indian
FinTech companies:
|
Role |
Estimated Monthly Stipend |
|
DS/ML Intern |
₹40,000
– ₹80,000/month |
Additional benefits may include:
·
Mentorship
from senior AI engineers
·
Exposure to
production AI systems
·
Learning &
networking opportunities
·
Potential
Pre-Placement Offer (PPO) based on performance
🛠️ Essential Skills Required
Programming
·
Python
·
SQL
AI & Machine Learning
·
Machine
Learning Basics
·
Data Science
·
Prompt
Engineering
·
Large Language
Models (LLMs)
·
AI APIs
·
Model
Evaluation
Statistics
·
Applied
Statistics
·
Metrics
Interpretation
·
Statistical
Testing
·
Data Quality
MLOps
·
Model
Deployment
·
Monitoring
·
Version
Control
·
Drift
Detection
·
Feature
Engineering
Preferred Skills
·
Information
Retrieval
·
Entity
Matching
·
Record Linkage
·
LLM
Observability Tools
·
DevEx
Analytics
·
Backend
Development
Soft Skills
·
Product
Thinking
·
Communication
·
Analytical
Mindset
·
Problem
Solving
·
Curiosity
·
Teamwork
·
Ownership
🌟 Why Join Razorpay?
✨ Work on real-world AI products.
🤖 Gain hands-on experience
with LLMs.
🚀 Build production-scale
Machine Learning systems.
💻 Exposure to backend
engineering.
📊 Learn evaluation systems
used in AI products.
☁️ Understand production MLOps.
🌍 Work with one of India's
top FinTech engineering teams.
🎯 Opportunity for PPO based
on performance.
📋 Selection Process
The expected hiring process may
include:
1️⃣ Online Application
2️⃣ Resume Screening
3️⃣ Online Coding Assessment
4️⃣ Machine Learning / Python
Interview
5️⃣ Technical Discussion
6️⃣ Hiring Manager Round
7️⃣ Internship Offer
💡 Pro Tips to Crack Razorpay DS/ML Internship
✅ Build at least two end-to-end ML
projects.
✅ Learn Prompt Engineering with
OpenAI, Gemini, or Claude APIs.
✅ Practice Python coding daily.
✅ Strengthen SQL fundamentals.
✅ Learn model evaluation metrics
such as Precision, Recall, F1 Score, ROC-AUC, and calibration techniques.
✅ Explore MLOps tools such as
MLflow, Docker, and model versioning concepts.
✅ Build AI chatbot or
Retrieval-Augmented Generation (RAG) projects to showcase practical skills.
✅ Highlight GitHub repositories,
Kaggle participation, and AI research work in your resume.
⭐ Unique Highlights
🌟 Builder-first engineering
culture.
🌟 Work on production AI
systems instead of research-only projects.
🌟 Hands-on exposure to LLM
Evaluation Frameworks.
🌟 Learn AI inference
optimization.
🌟 Collaborate with
experienced software engineers.
🌟 Gain experience in AI
Product Engineering.
🌟 Opportunity to contribute
to real FinTech products.
❓ Frequently Asked Questions (FAQs)
Q1. Who can apply for the Razorpay DS/ML Internship?
Students currently pursuing or
recently completing degrees in Computer Science, Data Science, Machine
Learning, Artificial Intelligence, Information Technology, or related fields.
Q2. Is prior industry experience mandatory?
No. Coursework, research, personal
projects, internships, or practical AI/ML experience are sufficient if you have
built end-to-end solutions.
Q3. Which programming languages are required?
Python is mandatory, and working
knowledge of SQL is required.
Q4. Are Large Language Models (LLMs) part of the role?
Yes. Interns will work with LLM
evaluation, prompt engineering, APIs, inference optimization, and production AI
systems.
Q5. Is the internship remote?
No. This is an on-site
internship based in Bangalore.
Q6. Is there a possibility of a Pre-Placement Offer (PPO)?
While not explicitly mentioned,
high-performing interns at leading technology companies are often considered
for PPOs based on business requirements and performance.
✅ Conclusion
The Razorpay DS/ML Intern opportunity is an exceptional launchpad for students and recent graduates eager to build real-world AI products. Rather than focusing solely on research, this internship offers exposure to the complete lifecycle of production AI systems—from LLM evaluation and prompt engineering to MLOps, model deployment, statistical analysis, and backend integration. If you have a builder mindset, strong Python and SQL skills, and a passion for solving practical AI challenges, this internship can significantly strengthen your career in Artificial Intelligence, Machine Learning, and Data Science.
🔗 Apply Link: Click Here To Apply for Razorpay
|
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have been obtained from the organization’s official website. We do not
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