Bengaluru Karnataka Python internship Jobs – 112 Open Jobs Today

AI intern
RippleHire —Bengaluru, Karnataka
- Full-time
- Master's degree
- APIs
- AI
Associate Software Engineer
CUBE —Bengaluru, Karnataka
- Full-time
- Azure
- English
- APIs
21h
Data Scientist, Senior Associate
State Street —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Research
14h
Software Development Engineer - Software Development Engineering N 4A
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
10d

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Associate Software Engineer
CUBE —Bengaluru, Karnataka
Write unit tests (pytest) for all developed code; learn to read coverage reports and identify branch coverage gaps. Event-Driven & Data Lake Foundations.
21h
Associate Engineer - Digital Technology
United Airlines —Bengaluru, Karnataka
This role plays an important role in creating and maintaining software solutions supporting United's Network operation applications.
9d

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AI intern

RippleHire -
Bengaluru, Karnataka

Apply Now

Job details

Full-time | Internship

Qualifications

Law
Enterprise Software
ATS
Survival analysis
Master's degree
Natural language processing
APIs
AI
Python

Full job description

Role description

AI Intern - Marketing

RippleHire is building the ATS where humans and agents work together. Last year, RippleHire processed 86 million+ candidates across 50+ countries, counting as clients from 2000 employee orgs to 200,000+ employee orgs. We're profitable, and have built a leadership position in IT Services, BFSI, and Professional Services - and we are scouting for an AI intern who will help build AI GTM models and workflows. Internship duration: 3-6 months, full time

What you will do

Depending on the duration of your engagement, you will own one or more of the following workstreams:

Predictive account intelligence

Build classification models that score accounts and leads against patterns derived from historical conversion data

Incorporate firmographic, behavioural, and technographic signals into feature engineering pipelines

Integrate outputs into CRM as live scoring fields consumed by the sales team daily

Unstructured data extraction

Design and evaluate LLM-based pipelines that read conversation transcripts and extract structured insights

Benchmark few-shot vs fine-tuned approaches; choose the right method for accuracy and cost

Build evaluation frameworks so output quality is measurable, not subjective

Buying signal detection

Identify external signals that indicate a target company is in-market for solutions like ours

Build pipelines that aggregate, score, and surface these signals to outbound teams on a regular cadence

Validate signal reliability against actual conversion outcomes over time

Pipeline analytics

Model deal progression using time-series and survival analysis techniques on CRM event data

Identify leading indicators of deal slippage or acceleration

Produce actionable outputs - not just notebooks, but s and dashboards designed for real time use

What we are looking for

Recent grad or final year student preferably at IIT/NIT

Strong foundations: Proficiency in Python, coursework or projects in ML, NLP, or applied statistics

Builder mindset: You are comfortable working with real world messy, large data sets. You can communicate your findings to non-technical stakeholders in plain language

Nice to have: Prior exposure to B2B, SaaS, or enterprise software contexts — even through internships or projects. Experience with LLM APIs, prompt engineering, or RAG architectures

What you will get

End-to-end ownership of a real project - from problem framing through production deployment

Direct mentorship from the Head of Marketing and close interaction with the product, and engineering teams

A published case study of your work (with appropriate confidentiality) that you can use in placements or grad school applications

Competitive stipend

Fast-track consideration for a full-time role upon graduation for exceptional performers

Share your story

Send a short note (300 words or fewer) to [email protected] that answers two questions:

Which of the four workstreams above would you pick, and why?
What is one real dataset or project you have worked on that is most relevant — and what did you learn from it that you would not have learned from a textbook?

Attach your resume and any links to code, papers, or public work. We read everything that comes in and respond to every application.

Apply Now

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