Python Developer Intern - Internship
MailEasy
Stipend: 10k -15k / month
Location: On-site, Pune
Duration: Minimum 6 months (long-term, PPO intent)
Facilities: Accommodation and food fully provided
READ CAREFULLY BEFORE APPLYING
About us
Were **MailEasy** , working at the intersection of education, research, and
applied AI.
This is **not a corporate environment**. Youll work closely with a small team
in a **founders officestyle setup** , building real AI-driven systems used by
real users. Decisions are fast, ownership is expected, and learning happens
through shipping.
We work with US-based stakeholders, so **work hours are flexible and outcome-
driven**. This is **not a fixed 97, MondaySaturday role**.
Role overview
Were looking for a **Full Stack AI/ML Developer Intern** who can build,
integrate, and reason about AI-powered systems end to end.
This role is hands-on and execution-heavy. Youll work on production-oriented
applications, not toy projects or tutorials.
What youll do
* Build and maintain full-stack applications using Python-based backend frameworks
* Design, train, and integrate AI/ML models into real application workflows
* Develop and consume REST APIs
* Work with databases (SQL / NoSQL) for data storage and retrieval
* Collaborate closely with product, design, and research teams
* Debug, iterate, and improve systems based on real usage
* Clearly document work and communicate progress
* **Taking leadership responsibilities over time**
- •
Required skills
* Strong understanding of AI/ML fundamentals
* Explicit working knowledge of **Django internals** (models, views, ORM, APIs)
* Emphasis on **Django specifically** , not just Python backends in general
* Experience building full-stack projects using Python
* Familiarity with backend frameworks like Flask, FastAPI, or Django
* Working knowledge of databases (SQL or NoSQL)
* Understanding of RESTful APIs
* Writing **clean, maintainable, well-documented code**
* Participation in **code reviews**
* Exposure to **testing practices**
* Ability to read, write, and reason about production-level code
* Ownership mindset and willingness to learn fast
Preferred skills (important, but not mandatory)
* Frontend experience with React, Next.js, or similar frameworks
* Prior **AI/ML projects** (academic / personal / internship) as a requirement
* Explicit exposure to **ML frameworks** :
1. TensorFlow
2. PyTorch
3. Scikit-learn
* Experience deploying applications or ML models
* Familiarity with cloud platforms or basic DevOps workflows
* **Empathy and communication skills** , especially when explaining technical concepts
* **Mentoring mindset** ability to guide, support, or review work of junior learners or peers
* Comfort working with students or non-technical stakeholders
Working environment
This is **not a corporate setup**.
* Work is **output-driven** , not hour-driven
* Schedules are flexible and often **US timealigned**
* Not a fixed 97, MondaySaturday role
* Some phases require deep focus and longer hours; others are lighter
* Youre expected to manage time responsibly and communicate clearly
The team is **young, direct, and open-minded**. Youll be trusted with real
responsibility early. Feedback is honest. If something is unclear, youre
expected to ask. If something breaks, youre expected to fix it.
This environment works best for people who enjoy ownership, ambiguity, and
real-world problem solving.
Commitment requirement (read carefully)
This is a **long-term role** with intent to convert into a full-time position.
Apply only if you can commit for a minimum of 6 months intern and are
interested in continuing full-time based on performance (PPO).
What we offer
* 10,000-15,000 monthly stipend
* Accommodation and food fully covered
* Real-world AI/ML product experience
* Direct access to founders and senior mentors
* High-ownership, portfolio-grade work
* PPO opportunity for strong performers
About MailEasy
Job Summary
More jobs from MailEasy
Design Strategist Intern - Internship
Ready to Apply?
Take the next step in your career journey. Join MailEasy and make an impact.
Apply Now