AI / Reinforcement Learning Engineer (Stock Market Prediction)
We are looking for an AI Engineer with strong experience in Reinforcement Learning (RL), Machine Learning, and Python to help build an intelligent stock market trading and analysis system.
Responsibilities
- Design and develop reinforcement learning models for stock market analysis and trading.
- Build a data pipeline to process historical and real-time market data, including:
- Price
- Volume
- Technical indicators
- Market trends
- Other relevant financial features
- Create a flexible RL environment where rewards and penalties can be customized based on different trading strategies.
- Train, test, and optimize AI models to learn profitable trading behavior.
- Develop models that can:
- Identify potential market bottoms and tops.
- Predict high-probability price movements.
- Generate intelligent buy, sell, or hold signals.
- Continuously improve model performance using backtesting, experimentation, and new data.
Required Skills
- Strong knowledge of Reinforcement Learning.
- Experience with Python and AI frameworks.
- Experience building custom RL environments.
- Understanding of financial markets, stock trading, and technical indicators is highly preferred.
- Experience with data engineering, feature engineering, and model optimization.
Nice to Have
- Experience with algorithmic trading or quantitative finance.
- Knowledge of time-series forecasting.
- Experience working with large financial datasets.
- Familiarity with backtesting frameworks and trading systems.
What We'd Like to See in Your Application
To help us evaluate your experience, please include the following in your application:
- A brief summary of your most successful AI or Reinforcement Learning project.
- The problem you were trying to solve and the approach you used.
- The RL algorithms or machine learning models you implemented.
- The technologies and frameworks you used
- The performance of your model, including any relevant metrics such as returns, Sharpe ratio, win rate, accuracy, or backtesting results.
- If possible, include charts, GitHub repositories, research papers, or portfolio links that demonstrate your work (provided you have permission to share them).
- Describe what you believe you can bring to this project and how you would approach building a profitable AI-powered stock market decision system.
We are looking for candidates who can demonstrate not only strong technical skills but also the ability to translate AI research into practical, data-driven trading solutions.
Pay: ₹100,000.00 - ₹500,000.00 per month
Work Location: Remote
