Senior Machine Learning Engineer
Senior Machine Learning Engineer
Posted on :
03-01-2025
Employer Active
1 Vacancy
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Job Description
- Collect clean and preprocess historical financial data extracting meaningful features such as moving averages RSI and volatility indicators to enhance model performance
- Design and train predictive models (e.g. LSTM XGBoost Random Forests) with rigorous backtesting hyperparameter tuning and evaluation using metrics such as Sharpe Ratio Sortino Ratio and Maximum Drawdown
- Deploy models in production environments monitor performance address data drift through retraining and collaborate with teams to integrate insights into trading systems while maintaining thorough documentation
Qualifications :
- At least 5 years of experience in Machine Learning or AIrelated roles with a focus on financial data modeling quantitative analysis or algorithmic trading systems
- Proficiency in Python with handson experience using libraries such as TensorFlow PyTorch scikitlearn and XGBoost
- Familiarity with big data frameworks (e.g. Spark Dask) and cloud platforms like AWS or GCP
- Proven track record of developing and deploying trading models or financial strategies
- Strong experience in timeseries forecasting financial data analysis and feature engineering for stock market data including technical indicators and sentiment analysis
- Expertise in hyperparameter tuning techniques model optimization and performance enhancement
- Solid foundation in statistics probability and optimization methods with knowledge of risk management metrics such as Sharpe Ratio Alpha and Beta for portfolio optimization
- At least an UpperIntermediate level of English
WILL BE A PLUS
- Experience in proprietary trading hedge funds or asset management firms
- Knowledge of trading platforms such as Interactive Brokers Alpaca or similar systems
- Knowledge of options pricing derivatives or quantitative trading strategies
- Familiarity with alternative data sources including news sentiment social media trends and other nontraditional datasets for market analysis
- Experience with transformer models (both language and visual)
- Handson experience with backtesting tools like Zipline or Backtrader
- Familiarity with Docker Kubernetes and CI/CD pipelines for scalable model deployment
Additional Information :
PERSONAL PROFILE
- Strong critical thinking and problemsolving skills with the ability to assess and challenge model assumptions
- Excellent communication skills for presenting complex concepts
- Ability to work both independently and collaboratively in fastpaced dynamic environments
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Key Skills
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