Question 1

How much Python do I need to know before applying?

Accepted Answer

You need basic Python -- comfort with pandas and numpy to clean data and build simple models is enough. You do not have to be an expert; if you can write basic scripts and are eager to learn, you can grow quickly into the more advanced work on real datasets.

Question 2

Do I need to know machine learning theory or heavy mathematics?

Accepted Answer

A working grasp of core ML ideas helps, but you do not need deep, research-level mathematics. This is an applied internship, so understanding how to prepare data, train a model and read the results matters more than deriving equations from scratch.

Question 3

What datasets and problems will I actually work on?

Accepted Answer

You work with real business datasets on use-cases such as lead scoring, content and analytics, rather than clean textbook data. That means you also learn the messy but essential parts -- cleaning data, handling gaps and documenting experiments so results are reproducible.

Question 4

Is this internship remote or work-from-office?

Accepted Answer

It is a Work-From-Office internship at our Gurgaon office. Being on-site lets you sit with the people who understand the data and the business questions behind it, which makes your models far more useful.

Question 5

Can students from non-CS branches apply?

Accepted Answer

Yes, as long as you have basic Python and a genuine interest in machine learning. Students from statistics, mathematics, data science and allied fields often do very well here, and motivated learners from other branches are welcome too.

Question 6

What tools and libraries will I use day to day?

Accepted Answer

You will work primarily in Python with common libraries such as pandas and numpy, along with standard machine learning and analysis tools. You apply them to real datasets and real questions rather than practising on synthetic examples.

Question 7

How do I apply and what is the selection process?

Accepted Answer

Apply through the White Collar Realty careers page with your CV, highlighting any Python, data or ML coursework or projects. Shortlisted candidates have a short conversation, often with a simple data or reasoning task, to see how you approach problems.

Question 8

When do internships start and how long do they run?

Accepted Answer

We onboard interns on a rolling basis rather than in fixed batches, so start dates are flexible. The internship runs 3 to 6 months, and you agree the track and start date with the team once you are selected.

Question 9

Can I do this internship for academic credit?

Accepted Answer

Yes. If your college requires a credited internship or project, this role qualifies, and we provide a Certificate of Completion plus documentation support on request. Many students use it to satisfy their summer or semester internship requirement.

Question 10

Do I need my own laptop for the ML work?

Accepted Answer

Yes, please bring your own laptop. For most tasks a standard laptop that can run Python and Jupyter comfortably is enough, and you do not need a specialised or GPU machine to contribute meaningfully to the projects.

Question 11

Will I have a mentor to guide my experiments?

Accepted Answer

Yes. You get guidance on framing problems, choosing approaches and reading your results, so you are not left guessing. Feedback on your experiments and documentation is a regular part of the internship.

Question 12

How is this different from an online ML course or Kaggle practice?

Accepted Answer

Courses and competitions give you clean, ready-made datasets, while here you own the full loop -- sourcing messy real data, cleaning it, modelling and reporting to people who will use the answer. That end-to-end, real-stakes experience is what employers value most.

Question 13

What makes a strong applicant for the AI/ML role?

Accepted Answer

A strong applicant is analytical and detail-oriented, has done at least one hands-on data or ML project, and can explain their reasoning clearly. Being honest about what you do and do not know, and showing you can learn fast, counts for a lot.

Question 14

Will I build a portfolio I can show future employers?

Accepted Answer

Yes. Because you work on real datasets and real business problems, you finish with documented projects you can talk through in future interviews. Alongside that, you receive a Certificate of Completion and a Recommendation Letter reflecting your contribution.

Question 15

Is there a chance of a full-time role after the internship?

Accepted Answer

There can be. High-performing interns may be considered for PPO opportunities based on their performance and business requirements. Treating the internship as a long interview, and delivering reliable, well-documented work, is the best way to be considered.

Question 16

Where is the office and is commuting supported?

Accepted Answer

The role is based at our Gurgaon / Gurugram office, and we provide a free shuttle to the nearest metro. This keeps the daily commute manageable even if you are travelling from across Delhi NCR.

AI/ML Intern -- Gurgaon / Gurugram

AI/ML Intern

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