- Stipend
- ₹26,400 – ₹39,600 /month
- Duration
- 6 months
- Start date
- Immediately
- Location
- Work from home
Hofmann CommerceVerified companyWork from home5 Nov 2026
This internship includes an online test
You'll take it right after applying — about 35 minutes.
About the internship
This internship is for students with solid Python and statistics. Some deep learning exposure helps but is not required. Selected intern's day-to-day responsibilities include:
1. Pull data from BigQuery or PostgreSQL with SQL queries
2. Run exploratory analysis and write up what you find in a Jupyter notebook.
3. Engineer features from transaction, text or event data.
4. Evaluate models using precision, recall, AUC and other metrics that fit the problem
5. Write prompts and evaluation sets for LLM features, and score the outputs
6. Present findings to the team in a short slide deck every few weeks
7. Track experiments in MLflow or Weights & Biases so results can be reproduced
8. Label and review samples of training data to check quality
Skill(s) required: Python, Deep Learning, SQL, PyTorch, NumPy
Who can apply
1. Based anywhere in Pakistan
2. Own a laptop and have stable internet at home, ideally with a UPS backup
3. Final-year students or fresh graduates of BSCS, BSSE, BBA or a related program
Stipend: $300 - $450/month
Duration: 6 months | Start date: Immediately
Perks: Certificate, Flexible work hours, Internet allowance, Performance bonus, Informal dress code, 5 days a week
Number of openings: 4
About Hofmann Commerce
We run a marketplace with over 300,000 active sellers and fulfillment centres in four regions. Our engineering, trust and safety, and customer support teams work across offices in Cologne and several other countries. Core hours are 10 to 3, and the rest of the day is flexible.
Candidates must be eligible to work in.
Duration: 6 months. Start: Immediately.
Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Hofmann Commerce.
Hofmann Commerce · Technology, Information and Internet
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