Build real-world software, work with experienced engineers, and launch your career with a paid program at Drip Sins.
# Drip Sins — Intern Project import pandas as pd from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier class DataPipeline: def __init__(self, filepath: str): self.data = pd.read_csv(filepath) self.model = RandomForestClassifier( n_estimators=100, random_state=42 ) def train(self) -> float: X, y = self.data.drop('target', axis=1), \ self.data['target'] X_train, X_test, y_train, y_test = \ train_test_split(X, y, test_size=0.2) self.model.fit(X_train, y_train) return self.model.score(X_test, y_test)
Join a high-impact team where you'll write production Python code, contribute to AI/ML pipelines, and ship features used by real customers.
This isn't a "make coffee" internship. From day one, you'll be embedded in an agile team, attending standups, doing code reviews, and pushing code to production under mentorship.
Real work. Real impact. You'll contribute across the full stack of our Python ecosystem.
Develop and fine-tune machine learning models using scikit-learn, TensorFlow, or PyTorch for production pipelines.
Create RESTful APIs using FastAPI or Django REST Framework, connected to PostgreSQL and Redis.
Work with large datasets using Pandas and NumPy; create dashboards with Matplotlib or Plotly.
Contribute to unit/integration tests using pytest and maintain API documentation with Swagger/Postman.
Review team PRs on GitHub, attend sprint planning, and ship features in 2-week sprints under senior mentorship.
Write Python scripts to automate data ingestion, reporting, and deployment pipelines using CI/CD tools.
We look for curiosity over perfection. Here's what matters.
OOP, decorators, generators, async/await, file I/O, error handling.
NumPy, Pandas, Matplotlib, Seaborn for data manipulation and visualization.
Scikit-learn fundamentals, model training, evaluation, cross-validation.
FastAPI or Django/Flask basics. Understanding of REST architecture.
SQL queries with PostgreSQL or MySQL. Basic understanding of indexing and joins.
Git version control, GitHub PRs, basic Linux commands, virtual environments.
A structured 6-month path from onboarding to shipping real features.
Meet your team, set up dev environment, learn the codebase, complete orientation project.
Pick up your first Jira ticket, write code, get reviewed, and merge your first PR.
Own a module end-to-end — design, implement, test, and deploy with mentor review.
Work with product and design teams, lead intern demo, contribute to ML pipeline.
Present your work to leadership. Top performers receive Pre-Placement Offer discussions.
We invest in our interns because great people deserve great support.
Limited seats available. Enroll now at the discounted price before it's gone.
Takes less than 5 minutes. We review every application personally.
We respond to all applications within 5 business days. 📧 connect@dripsins.in