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Lead Machine Learning Engineer
HíbridoTiempo completoAI & Machine LearningFinancial Services
Join a boutique quantitative finance company building autonomous, high-frequency trading systems for institutional clients. Own the full machine learning lifecycle from research and proof of concept through production deployment, monitoring, and optimization. The role is based in Israel with an inея
Responsabilidades
- Own the complete machine learning pipeline from exploratory research and proof of concept to production implementation.
- Develop predictive statistical models and machine learning pipelines for real-time market execution.
- Analyze financial time-series data, signal-processing outputs, and large datasets.
- Build and refine features using modern Python data science frameworks and Rust.
- Monitor, fine-tune, and optimize production machine learning systems.
Requisitos
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Physics, Electrical Engineering, or a related quantitative field.
- At least 5 years of hands-on experience in machine learning, deep learning, or data science.
- Deep experience modeling and analyzing time-series data.
- Strong programming skills in Python using tools such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow, or strong Rust programming skills.
Se valora
- Experience in quantitative finance, algorithmic trading, financial data analysis, or signal processing.