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Industry: Forex / Financial Services
Location: UAE
Experience Required: Minimum 2 years
Job Title: AI / ML ENGINEER – TRADING STRATEGY & PREDICTION
Role Summary
We are hiring an AI/ML Engineer to build predictive models for trading strategies using historical and live market data. The role focuses on developing models that can be deployed in real trading environments, not just experimental or academic work.
Responsibilities
● Build machine learning models for:
○ Price direction prediction
○ Volatility forecasting
○ Trade outcome probability
● Work with historical and live trading data (ticks, OHLC, indicators)
● Perform feature engineering using:
○ Technical indicators
○ Market structure data
○ Time-based patterns
● Develop backtesting pipelines for model validation
● Optimize models based on real-world trading performance
● Integrate models into production systems (APIs, dashboards, MT5 tools)
● Continuously retrain and improve models using new data
Required Skills
● Strong programming in Python
● Experience with ML frameworks (TensorFlow or PyTorch)
● Experience with time-series modeling
● Strong understanding of data preprocessing and feature engineering
● Experience with Pandas, NumPy, and data pipelines
● Understanding of evaluation metrics (accuracy, precision, recall, Sharpe, drawdown) Preferred Skills
● Experience with trading systems or financial markets
● Understanding of:
○ PnL
○ Risk management
○ Drawdowns
● Experience with reinforcement learning in trading
● Experience with real-time inference systems
● Knowledge of order book or market microstructure
What Success Looks Like
● Models that perform consistently in live trading, not just backtests
● Ability to reduce overfitting and adapt to market changes
● Integration of models into real execution pipelines
● Measurable improvement in trading strategy performance
Disqualifiers
● Only academic or Kaggle experience
● No understanding of noisy real-world data
● No experience deploying models
Job Type: Full-time
Pay: AED10,000.00 - AED15,000.00 per month
Ability to commute/relocate:
Application Question(s):
Experience:
Language:
Work Location: In person
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