The position requires a highly skilled individual to collaborate closely with customers to enable acceleration in evaluating and tuning machine learning models. The candidate will be responsible for integrating, referencing, making inferences, and consolidating data into a holistic view. The role involves creatively writing and evolving prototype techniques leveraging diverse architecture and methods, as well as providing database administration, dataflow engineering, data wrangling, and model development. Proficiency in Python (including SciKit-learn, TensorFlow, PyTorch), R, GIT, and experience with Jupyter Notebooks is essential.
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Education Level
Bachelor's degree
Number of Employees
101-250 employees