JOB DESCRIPTION .

About Us We're building a real-time trading intelligence platform.

We're looking for an ML/AI intern to build the intelligence layer — 16 market insights that power our decision engine. Implement 16 pre-defined market insight functions in Python — trend detection, volume anomaly scoring, breakout probability, implied volatility surface, Event ratio analysis, open interest buildup, and more Build a 22-feature vector per stock per timestamp from historical data Train baseline ML models (XGBoost / LightGBM) for market regime classification and signal generation Run walk-forward backtests — we use proper time-series validation, not random train-test splits Track all experiments in MLflow and iterate on feature engineering Build a risk and validation layer — position sizing (Kelly Criterion), confidence calibration, data freshness checks Work from detailed written specs — every insight is defined with formulas, expected output ranges, and encoding guidance What You Won't Do Data engineering — separate hire handles Kafka, Flink, data pipelines Frontend development — separate hire DevOps or infrastructure Tech Stack Python 3.11+, pandas, numpy, scikit-learn, XGBoost, LightGBM, MLflow, Docker, VS Code, Jupyter, Git/GitHub Qualifications Required:



Python proficiency — daily comfort with pandas, numpy, scikit-learn Built at least one ML model end-to-end (academic project counts) Understanding of z-scores, rolling statistics, and train-test methodology Ability to read a technical spec and implement it independently Final year B.Tech / M.Tech in CS/IT/ECE/Data Science, or recent graduate (0–1 year experience) Preferred: Familiarity with financial data (candlesticks, RSI, MACD, options greeks) Time-series ML experience XGBoost or LightGBM experience MLflow or any experiment tracking tool PyTorch basics for future deep learning phase Duration: 3 months minimum, extendable to 6 months based on performance Stipend: ₹10000 – ₹25,000/month + performance bonus on milestone delivery Location: Remote (Bengaluru preferred for occasional sync-ups) Start date: Immediate

Pay: ₹12,000.00 per month

Perks:

- Flexible schedule
- Work from home

Application Question(s):

- Have you trained at least one machine learning model (e.g., XGBoost, Random Forest, or Neural Net) — including splitting data, training, and evaluating accuracy? College/academic projects count. Note: database/data modeling is different from ML modeling.

Work Location: Remote

📌 ML/AI Intern — Market Data Platform (India)
🏢 Qantilo Research Labs
📍 India