Bengaluru Karnataka Ml internship Jobs – 75 Open Jobs Today

Forward Deployed Engineer (FDE)
KAPTURE CX —Bengaluru, Karnataka
- Master's degree
- APIs
- AI
Quick apply
3d
Founder Intern - AI/ML -Deeptech - Candidates from TIER 2 Cities
VEDANTA MOBILITY —Bangalore City, Bengaluru, Karnataka
- ₹1 - ₹2 a month
- Hybrid work
- Research
- Machine learning
- AI
- Flexible schedule
Quick apply
IOS Engineer Intern
Infilect —Bengaluru, Karnataka
- Full-time
- Agile
- AI
- Internship
Quick apply
Computer Vision Engineer (All levels)
eternal.ag —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
AI Research Scientist
Saarthee —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
Quick apply
Testing-PMO-Campus
EY —Bengaluru, Karnataka
- Oracle
- Computer Science
- Java
Software Engineer II, AI/ML
DigitalOcean —Bengaluru, Karnataka
- Java
- Master's degree
- Bachelor's degree
Quick apply
Trainee: Product Management - Automotive Microcontrollers
Infineon Technologies AG —Bengaluru, Karnataka
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Software Systems Engineer-Devops
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Java
Associate Value Engineering - Orbit India
Celonis —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
- Paid time off
QA Engineer
Nextiva —Bengaluru, Karnataka
- Email
- Azure
- Computer Science
- Java
- Paid holidays
- Health insurance
1d
LLM Data Scientist, Senior Associate
State Street —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Research
18h
Software Engineer, Cross Border Science and Analytics
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- Bachelor's degree
- Software development
1d
Graphics Designer & Video Editor Intern 6 months O
IMPACTO DIGIFIN TECHNOLOGIES PVT LTD —Bengaluru, Karnataka
- ₹15,000 a month
- Full-time
- In-person
- AI
- Communication skills
Quick apply
Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- Java
- C++
Software Development Engineer, Sidewalk Cloud, Sidewalk Cloud
ADCI - BOM - Non STPI —Bengaluru, Karnataka
- Full-time
- Computer Science
- Java
- AWS
SDE 2, FMA - Featured Merchant Algorithm
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- Bachelor's degree
- Software development
Software Development Engineer II (ML), CMT
ADCI - Tamil Nadu —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
9d
Campus - BI Consultant
Thoucentric —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Machine Learning Engineer, Amazon Music - Catalog Quality
Amazon Development Centre (India) Private Limited —Bengaluru, Karnataka
- Full-time
- Computer science
- Computer Science
- Java
6d

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Forward Deployed Engineer (FDE)

KAPTURE CX
Bengaluru, Karnataka

Quick apply

Job details

3 days ago

Qualifications

Telephony
Law
Software deployment
Master's degree
IVR
REST
APIs
JSON
Business requirements
AI
Communication skills
Debugging

Full job description

About Kapture CX

Kapture CX is an enterprise-grade, AI-powered Customer Experience Automation platform that helps businesses transform customer interactions across voice, chat, email, and other digital channels.

Our platform powers customer experience for leading brands such as BigBasket, Star Health Insurance, Allianz, Airtel, Lenskart, and several others.

About the Team

We build AI-powered chatbot and voice bot experiences for enterprise clients on top of Kapture's platform builder.

Our voice bots operate on real-time telephony with STT LLM TTS pipelines, orchestrated over WebSockets, while our chatbots run as embeddable widgets with configurable conversation flows.

The team works closely with clients to translate their requirements into working conversational AI solutions — from configuration and integration to go-live and continuous optimization.

Role Overview

As a Forward Deployed Engineer, you will be responsible for building and deploying chatbot and voice bot solutions for enterprise clients using Kapture's platform builder.

You will work closely with clients and internal teams to understand requirements, design conversation flows, configure AI and integrations, troubleshoot live deployments, and continuously improve bot performance using real-world conversation data.

This is a hands-on engineering and builder role, where you will own a client's bot from requirement gathering build integration deployment optimization.

This role is ideal for someone early in their career who is excited about Conversational AI, LLMs, automation and building real-world AI products.

Key Responsibilities

Voice Bot Development

Design and configure voice call flows including intents, prompts, escalation logic, fallback handling and conversation journeys.
Configure and optimize STT, LLM and TTS pipelines based on client requirements.
Write and continuously tune LLM prompts for bot persona, conversation rules and edge cases.
Handle scenarios such as interruptions, repetitions, cancellations, fallbacks and escalation to human agents.
Analyze call recordings and transcripts to identify issues and improve bot performance.

Chatbot Development

Design and configure chatbot conversation flows, intents, business logic and fallback paths.
Configure and deploy embeddable chat widgets on client websites.
Work with iframe embedding, styling and basic security configurations such as CSP.
Analyze conversation logs to improve flow accuracy, user experience and reduce drop-offs.

Client & Solution Ownership

Translate client requirements into functional chatbot and voice bot solutions on the Kapture platform.
Work directly with clients or client-facing teams to understand business requirements and technical needs.
Debug and resolve issues across bot flows, prompts, configurations and integrations.
Collaborate with platform and engineering teams when issues require product or platform-level changes.
Own assigned bot deployments from requirement gathering through go-live and post-production optimization.
Maintain clear documentation covering solution design, configurations, integrations and deployment details.

What We're Looking For

0–2 years of experience in software engineering, technology, automation or a related technical/builder role.
Strong fundamentals in at least one programming language.
Comfortable working with JSON and configuration-driven systems.
Basic understanding of REST APIs and API integrations.
Genuine interest in Conversational AI, LLMs, chatbots or voice bots.
Understanding or hands-on exposure to prompt engineering, conversation design or LLM-based applications is a plus.
Strong problem-solving and debugging skills.
Excellent written and verbal communication skills.
Comfortable interacting with clients and translating business requirements into technical solutions.
Ability to independently own a deliverable from requirement build deployment iteration.

Good to Have

Experience with no-code/low-code platforms, chatbot builders, IVR or voice platforms.
Exposure to LLM APIs or prompt engineering.
Familiarity with WebSockets, telephony systems, real-time audio or STT/TTS technologies.
Experience with client-facing projects or requirement gathering.
Personal, academic or internship projects involving AI/ML, chatbots, voicebots or automation.

What Success Looks Like

Independently take a client's requirements and build a functional chatbot or voice bot end-to-end.
Configure conversation flows, prompts, integrations and relevant AI pipeline components with minimal supervision.
Diagnose and resolve live bot issues across flows, prompts and configurations.
Use conversation logs, transcripts and call data to continuously improve bot performance.
Effectively collaborate with clients, account teams and engineering teams.
Become a trusted owner for assigned bot deployments from kickoff to go-live and beyond.

Why This Role?

This is an opportunity to work on real-world Conversational AI products at enterprise scale from very early in your career.

You will get hands-on exposure to LLMs, prompt engineering, voice AI, chatbots, APIs, real-time systems, client deployments and AI product building — while directly seeing your work go live with enterprise customers.

This is not a QA or back-office support role. You will be building, deploying, debugging and owning production AI experiences.

Quick apply

Refine Your Search

ml internship jobs in bengaluru karnataka

Forward Deployed Engineer (FDE)

Founder Intern - AI/ML -Deeptech - Candidates from TIER 2 Cities

IOS Engineer Intern

Computer Vision Engineer (All levels)

AI Research Scientist

Testing-PMO-Campus

Software Engineer II, AI/ML

Trainee: Product Management - Automotive Microcontrollers

Software Systems Engineer-Devops

Associate Value Engineering - Orbit India

QA Engineer

LLM Data Scientist, Senior Associate

Software Engineer, Cross Border Science and Analytics

Graphics Designer & Video Editor Intern 6 months O

Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions

Software Development Engineer, Sidewalk Cloud, Sidewalk Cloud

SDE 2, FMA - Featured Merchant Algorithm

Software Development Engineer II (ML), CMT

Campus - BI Consultant

Machine Learning Engineer, Amazon Music - Catalog Quality