Role Description

AI / Python Intern – Applied ML

Location: Jaipur (In-office)

Type: Internship (PPO opportunity)

What You’ll Do

• Build ML models for prediction and ranking problems (Top-K outputs)
• Work with large, real-world datasets and messy signals
• Design feature pipelines (behavioral patterns, co-occurrence, temporal trends)
• Optimize models for accuracy + low-latency inference
• Deploy and iterate using real feedback loops

What We’re Looking For

• Strong Python + ML fundamentals
• Built at least 1 end-to-end ML project
• Understands classification vs ranking, precision/recall, Top-K metrics
• Comfortable with real-world data (not clean datasets)
• Thinks in systems, not just models

Bonus

• Experience with recommendation systems / embeddings
• Familiarity with LightGBM, XGBoost, PyTorch
• Basic API / deployment (FastAPI, Flask)

Why Join

• Work on production-grade ML systems
• High ownership, fast iteration
• Build systems that actually get used

Apply

Send:

• GitHub
• 1–2 ML projects (with approach)
• Short note on how you’d build a prediction system