Deep Learning Intern

Internship details

Weaverflow is looking for a data science intern to help build and test prediction models for our Risk Modelling team. Selected intern's day-to-day responsibilities include:

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

2. Engineer features from transaction, text or event data

3. Label and review samples of training data to check quality.

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

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

6. Train baseline models with scikit-learn and compare them against simple rules.

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

8. Fine-tune small transformer models with Hugging Face for classification tasks

Skill(s) required: Data Visualization, SQL, Python

Who can apply

1. Women returning to work after a career break are welcome to apply

2. Own a laptop and have stable internet at home

3. Students currently pursuing B.Tech, BE, BCA, MCA, B.Sc or a related degree, or fresh graduates (2027 batch)

Stipend: ₹60,000 - ₹65,000/month (fixed)

Duration: 3 months | Start date: Within 2 weeks

Perks: Job offer on successful completion, Performance bonus, Free access to paid learning courses

Number of openings: 4

About Weaverflow

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. Releases go out Tuesday mornings, never on Fridays.

Duration: 3 months. Start: Within 2 weeks.

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