Computer Vision Intern

About the internship

Prairiemark is looking for a data science intern to help build and test prediction models for our Risk Modelling team. As an intern, you will:

1. Package a trained model behind a simple FastAPI endpoint for testing

2. Document assumptions, data sources and results in Confluence or Notion.

3. Clean and prepare datasets in Python using pandas and NumPy

4. Run exploratory analysis and write up what you find in a Jupyter notebook.

5. Track experiments in MLflow or Weights & Biases so results can be reproduced.

6. Write prompts and evaluation sets for LLM features, and score the outputs.

7. Evaluate models using precision, recall, AUC and other metrics that fit the problem

8. Present findings to the team in a short slide deck every few weeks

Skill(s) required: NumPy, Scikit-learn, SQL

Who should apply

1. Women wanting to start or restart their career can also apply

2. Own a laptop and have stable internet at home

3. Are able to join within 15 days

Stipend: ₹37,000 - ₹49,000 per month

Duration: 2 months

Start date: Immediately

Perks: Laptop provided for the internship, Internet allowance, Flexible work hours

Number of openings: 1

About the company

Advertising, subscriptions and transaction fees each bring in a significant share of revenue. More than 1,300 employees work on the product, from search ranking to fraud detection. Support shifts are shared, so engineers spend a few hours a quarter answering customer tickets.

Duration: 2 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Prairiemark.