Python Full Stack + ML Intern (Freshers 2024–2027) — Hyderabad

Cloudsoftsol; Hyderabad; Hybrid; INR 167,400 - 279,000; Full time

Benefits offered by this job

Performance-linked stipend

Certificate of Internship

Letter of Recommendation

Job summary

Cloudsoftsol is seeking Python Full Stack + Machine Learning interns for its Hyderabad operations. This internship focuses on building AI-powered web applications using Django/Flask/FastAPI and React, offering real-world experience through mentorship from seasoned engineers. Suitable for freshers who are 2024–2027 passouts in tech fields.

The role includes designing full-stack apps, ML model integration, and hands-on learning with end-to-end deployment processes. Attractive performance-based stipend, certificates, and a high probability of a Pre-Placement Offer await successful candidates.

Qualifications

• 2024–2027 passout graduates preferred.
• Good to have knowledge on JWT or OAuth2, role-based access.
• Experience with TensorFlow, PyTorch or LLM integration is a plus.

Responsibilities

• Design and build full-stack web apps with Django or Flask and React.
• Build ML models and expose them through REST APIs.
• Create responsive front ends and handle database design.

Skills

Strong Python

Django/Flask/FastAPI

HTML/CSS/JavaScript with React.js

MySQL/PostgreSQL

Basic-to-intermediate ML with Scikit-learn, Pandas, NumPy

Education

B.Tech, B.E., M.Tech, MCA or M.Sc in CS, IT, Data Science or related

Tools

Git

Docker

AWS/Render/Vercel/Railway

Job description

Python Full Stack + Machine Learning internship at V Solutions Inc (Hyderabad) for 2024–2027 freshers — build AI-powered web apps end-to‑end with Django/Flask/FastAPI + React and deployed ML models, with a performance stipend and a possible PPO.

V Solutions Inc is hiring Python Full Stack + Machine Learning interns and freshers for its Hyderabad (HITEC City / Madhapur) operations. You will build real AI-powered web applications end‑to‑end — Django, Flask or FastAPI back ends with React front ends and deployed ML models — mentored by engineers experienced in both full‑stack and ML. The role suits 2024–2027 passout graduates (B.Tech, B.E., M.Tech, MCA or M.Sc in CS, IT, Data Science or related) and freshers with two to three strong ML and web projects. Duration is 3–6 months (extendable), hybrid in Hyderabad, with possible full‑time conversion.

Responsibilities

Design and build full-stack web apps with Django or Flask and React. Build and expose ML models through REST APIs and build ML pipelines. Create responsive React front ends and handle authentication, authorization and database design. Integrate predictive analytics, recommendation systems or NLP into web apps. Write clean code, join code reviews and assist with testing, documentation and deployment.

Requirements

Strong Python. One backend framework among Django, Flask or FastAPI. HTML, CSS and JavaScript with React.js or the ability to learn it quickly. MySQL or PostgreSQL with ORM usage and REST API development. Basic‑to‑intermediate ML with Scikit‑learn, Pandas and NumPy, and two to three personal or academic ML and web projects. Good to have are JWT or OAuth2 and role‑based access, React state management, Docker and deployment to AWS, Render, Vercel or Railway, TensorFlow, PyTorch or LLM integration with LangChain, the OpenAI API or Hugging Face, and Git with basic CI/CD.

Why this role in 2026

Most internships teach either web development or machine learning, but here you learn both — one of the most in‑demand combinations of 2026. You work on live AI‑integrated web projects, learn from engineers experienced in both full‑stack and ML, build production apps with proper auth, APIs and databases plus deployed ML models, and master the full flow from data to model training to backend API to frontend UI to deployment, with a strong path to a Pre‑Placement Offer.

Company & benefits

Performance‑linked stipend with regular reviews. Mentorship from Full Stack and ML engineers. A portfolio of AI‑powered web apps and end‑to‑end product understanding. Certificate of Internship and a Letter of Recommendation, and a high chance of a Pre‑Placement Offer as a Python Full Stack or ML Engineer.