Machine Learning Engineer - Bonifacio Global, Metro Manila
4 oras ang nakalipas
Paglalarawan ng trabaho
About Us
MabuhayTech Corporation is a dynamic and rapidly expanding software development company dedicated to creating meaningful digital solutions. We foster a culture of innovation, teamwork, and strong engineering practices. We are currently seeking a skilled Machine Learning Engineer to join our growing team and contribute to the evolution of our platform.
Responsibilities
• Develop and deploy machine learning and quantitative models for crypto trading applications
• Build and optimize models for:
1. Market prediction and price forecasting
2. Signal generation and alpha research
3. Risk modeling and portfolio optimization
4. Anomaly and fraud detection
• Work with large-scale, high-frequency, and time-series market data
• Perform feature engineering on market, order book, and on-chain data
• Integrate models into web and mobile applications via APIs
• Backtest trading strategies and evaluate performance using robust statistical methods
• Collaborate with data engineering teams on real-time data pipelines
• Monitor model performance, drift, and stability in production
• Apply MLOps best practices for deployment, versioning, and monitoring
Required Qualifications (Machine Learning & Quant)
• 3+ years of experience in Machine Learning, Quantitative Engineering, or Applied Data Science
• Strong programming skills in Python (NumPy, pandas, scikit-learn)
• Solid foundation in statistics, probability, and linear algebra
• Experience with time-series analysis and forecasting
• Knowledge of quantitative finance concepts, including:
1. Market microstructure
2. Alpha generation
3. Risk metrics (VaR, CVaR, drawdown)
Portfolio theory
• Experience building and evaluating trading or signal models
• Strong SQL skills and experience working with large datasets
• Experience deploying models into production systems
Preferred Qualifications
Experience in crypto trading, traditional finance, or high-frequency trading
- Familiarity with order book data and exchange APIs
- Knowledge of blockchain data and on-chain analytics
- Experience with deep learning models for time-series (LSTM, Transformers)
- Experience with backtesting frameworks and simulation environments
- Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)
- Experience with cloud platforms (AWS, GCP, or Azure)
How to Apply
Please send your resume, portfolio (if applicable), and a brief explanation of why you're a good fit to
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