
Senior Machine Learning Engineer
1 day ago
We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will have a strong background in machine learning, data integration, and statistical modeling.
About the Role
- This is a full-time opportunity with a competitive salary and benefits package.
- The ideal candidate will have 6+ years of experience in Machine Learning, Data Science, or Quantitative Research.
- Design and implement predictive models using tree-based methods and deep learning techniques.
- Build robust data integration pipelines in Python.
- Apply advanced Machine Learning/AI approaches to generate, clean, and validate proprietary datasets.
- Conduct backtesting, validation, and performance evaluation of data-driven models.
- Collaborate with cross-functional teams to translate research insights into practical solutions.
- Continuously monitor and refine models to improve accuracy, scalability, and efficiency.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, regression, and time-series analysis.
- Experience designing and deploying predictive models.
- Strong analytical and problem-solving skills, with the ability to work independently.
- Excellent verbal and written communication skills in English.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Competitive salary.
- Benefits package.
- Experience in quantitative finance, trading, or investment-related projects.
- Familiarity with systematic strategies, risk modeling, or portfolio optimization.
- Exposure to cloud platforms and large-scale data infrastructure.
- Knowledge of financial data APIs or alternative datasets.
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