Machine Learning Internship
Clean messy data, train models and learn why your validation score is lying to you.
- Python
- scikit-learn
- Pandas
- Model Eval
Work with real datasets and ship models that run in production, not notebooks that stop at accuracy scores. Mentored by engineers building AI systems for live clients.
Real screens from the Ezitech portal: registering, the 7 day trial, tasks, your supervisor, attendance and your verified documents.
AI internship applications are open all year. Choose a track, apply online and start when it suits your semester. Fully remote from anywhere in Pakistan, or hybrid from our office. Apply for the AI internship Studying from another city? Join as a remote internship in Pakistan.
Every track runs 1 to 6 months, hybrid: onsite or remote, with a mentor from the delivery team and a portfolio project at the end. Pick one, or take the six-month flagship above to cover all of them.
Clean messy data, train models and learn why your validation score is lying to you.
Build detection and recognition systems that run on real camera feeds, not clean datasets.
Move, transform and query data at scale, then turn it into dashboards leadership reads.
Frame a business question, test it statistically and present findings people can act on.
Train and fine-tune neural networks: architectures, transfer learning and GPU workflow.
Answer business questions with spreadsheets, SQL and dashboards, starting from zero and with no machine learning.
An AI internship at Ezitech is project work, not a lecture series. You pick one of five tracks of 1 to 6 months (machine learning, computer vision, deep learning, data science or big data analytics) or the six-month All-in-One Artificial Intelligence programme that covers them all.
Looking for an AI internship in Islamabad? Our office is in Rawalpindi on Main Peshawar Road, a short drive from Islamabad, so students from Islamabad and Rawalpindi join onsite or fully remote, hybrid, for 1 to 6 months. Most start with the machine learning internship.
Each week you work with real datasets, train and test models in Python with scikit-learn, PyTorch or TensorFlow, and review the results with a mentor from our delivery team. Every track ends with a portfolio project you can show in interviews, and the flagship ends with a model served behind a working API.
You work on real Ezitech projects with real deadlines and real revision rounds, not recycled practice exercises.
Weekly reviews with someone who does this work for a living, plus a team of interns around you to build with.
You finish with shipped work you are allowed to show, and documentation of the experience for employers.
On-campus days at our Rawalpindi office for reviews and labs, remote days for focused build time.
Our team runs on-campus seminars and Final Year Project evaluations, and we have signed MoUs with the universities below. More are added every semester.






A short form: your details, the track you want and your CV or portfolio if you have one.
A brief conversation so we place you at the right level and the right track for your background.
Tool access, your mentor, your team and your first brief on day one.
Weekly reviews until your project is finished, delivered and ready to show.
Not the right fit? These run on the same hybrid schedule and the same mentor model.
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Applications are reviewed on a rolling basis. Pick a track, send the form, and we will get back to you about the next intake.