Python Developer Intern

Job Title: Python Developer Intern (Django | Full Stack | AI/ML) Internship Overview We are looking for a

driven and curious Python Developer Intern

who is excited about learning, building real-world products, and exploring new technological horizons. This is a

hands-on internship

where you will work across

backend and frontend , contribute to production-level systems, and gain exposure to

AI/ML-driven applications . This internship can be converted into a full-time role

based on performance, ownership, and overall review.

Key Responsibilities Assist in developing and maintaining

web applications using Python and Django Work across

frontend and backend

to implement features end-to-end Design, manage, and query

databases , ensuring performance and reliability Support integration of

AI/ML concepts or models

into applications Write clean, maintainable, and well-documented code Collaborate with mentors, developers, and product teams Participate in code reviews, testing, and debugging Show initiative and take ownership of assigned modules or features

Required Skills & Qualifications Strong foundation in

Python programming Working knowledge of

Django

(models, views, ORM, APIs) Basic understanding of

frontend technologies

(HTML, CSS, JavaScript) Understanding of

databases

(SQL/NoSQL fundamentals) Good understanding of

AI/ML principles Prior

projects in AI/ML

(academic, personal, or internship projects) Strong

verbal and written communication skills Eagerness to

learn, explore, and adapt

in a fast-paced environment

What We’re Looking For A

growth-oriented mindset

and problem-solving attitude Openness to taking on

leadership responsibilities

over time Ability to work independently as well as in a team Strong ownership and accountability

Conversion to Full-Time Interns who demonstrate

technical competence, consistency, ownership, and leadership potential

will be considered for a

full-time Python Developer role

after a formal performance review.

Nice to Have Experience with

REST APIs, Git, Docker, or cloud platforms Exposure to

machine learning frameworks

(TensorFlow, PyTorch, scikit-learn) Prior experience working on

end-to-end projects