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- Build, maintain, and improve efficient and reliable data mining and machine learning models.
- Work closely with researchers in designing and implementing and tuning machine learning models, and provide performance feedback of machine learning models.
- Work closely with data engineers to adapt and improve data pipelines for production models.
- Work closely with software engineers in putting models into production (interface, SLA, scalability)
- Ms in Computer Science, System Engineering or related field with 2+ years of industry experience or PhD with 1+ years of industry experience
- Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
- Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models
- Master with SQL or other relational database.
- Master in building and productionizing end-to-end machine learning systems
- Knowledge in web application design is a plus.