AI / ML Fullstack Internship

DataVex Inc.; Mangaluru; On-site; INR 134,000 - 268,000; Part time

Benefits offered by this job

Mentorship

Online courses

Tech talks

Production exposure

Job summary

DataVex Inc. in India is seeking an AI/ML Fullstack Developer Intern to work on end-to-end AI-powered applications. You will bridge data science with production-ready web apps, gaining hands-on ML and fullstack experience.

The role involves building ML models, APIs, dashboards, and cloud deployments, with mentorship and opportunities to contribute to real systems. Location: Mangalore.

Qualifications

• Pursuing or completed B.Tech/B.E in Computer Science with strong academics.
• 2nd year or above (2024/2025/2026 batch) and willingness to learn.
• Strong problem-solving and communication skills; team player mindset.
• Familiarity with Python data stack and web development basics is a plus.

Responsibilities

• Design, implement, and deploy ML models for business use cases.
• Preprocess and analyze large datasets using Python tools.
• Develop RESTful APIs with FastAPI/Flask/Django.
• Build responsive UIs with React/Vue.js and deploy on cloud.
• Work with AWS/GCP/Azure, Docker, Kubernetes for deployment and scaling.
• Document code, APIs, and model architectures; contribute to open-source projects.

Skills

Problem solving

Analytical thinking

Communication

Presentation skills

Team player

Quick learner

Education

B.Tech/B.E in Computer Science

Tools

Python

pandas

NumPy

FastAPI

Flask

Django

React

Vue.js

AWS

GCP

Azure

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Job description

AI/ML Fullstack Developer Intern - Job Description

Role Overview

This 6-month internship offers hands-on experience in building end-to-end AI-powered applications, combining cutting-edge machine learning models with scalable web infrastructure. You'll work on real-world projects that bridge the gap between data science and production-ready applications.

Key Responsibilities

AI/ML Development:

Design, implement, and deploy machine learning models for specific business use casesPreprocess and analyze large datasets using Python, pandas, and NumPyDevelop and fine-tune deep learning models (CNNs, RNNs, Transformers) for various applicationsImplement MLOps practices including model versioning, CI/CD for ML pipelinesCreate data visualization dashboards and model performance monitoring tools

Fullstack Development:

Build RESTful APIs using frameworks like FastAPI, Flask, or DjangoDevelop responsive web interfaces using React, Vue.js, or AngularWork with cloud platforms (AWS, GCP, or Azure) for model deployment and scalingImplement database solutions (PostgreSQL, MongoDB, Redis) for application dataOptimize application performance and ensure code quality

Participate in agile development cycles with cross-functional teamsDocument code, APIs, and model architecturesContribute to open-source projects and share knowledge through technical blogs

RequirementsEducation:

Currently pursuing or finishing B.Tech/B.E in Computer Science

2nd year or above (2024/2025/2026 batch)

Strong academic record (60%+ or equivalent)

Technical Skills:

Soft Skills:

Strong problem-solving and analytical thinkingExcellent communication and presentation skillsQuick learner with ability to adapt to new technologiesTeam player with collaborative mindset

Preferred Qualifications

Experience with AWS/GCP/Azure servicesKnowledge of containerization (Docker, Kubernetes)Familiarity with frontend frameworks (React, Vue.js)Understanding of data structures and algorithmsPrevious internship or project experience in AI/ML or web development

What We Offer

Learning & Growth:

• Mentorship from senior AI/ML engineers and fullstack developers
• Access to online courses and certification programs
• Regular tech talks and workshops
• Opportunity to contribute to production systems

Duration & Timing

Duration: 6 months (Minimum commitment)Working Hours: 9:30 AM - 6:30 PM, Monday to SaturdayLocation: Mangalore

Why Join Us?

Work on cutting-edge AI projects solving real business problemsGain hands-on experience with both ML and fullstack developmentBuild a strong foundation for a career in AI/ML engineeringNetwork with industry experts and alumniPotential for future full-time conversion based on performance