Must have at least 1 year of prior work experience in each of the followingbr 1. Applying Machine Learning and Deep Learning modeling and algorithms to concrete real world problems at largescale.br 2. Working with business stakeholders to understand and define the problem, including data exploration and machine learning model prototyping.br 3. Contributing to machine learning platform to help manage the entire model lifecycle feature engineering, data cleaning sampling, model training evaluation, versioning, deployment, online serving, and performance monitoring.br 4. Using stateoftheart machine learning techniques and build Deep Learning and other models. Evaluate model performance via live experiments.br 5. Deliver reliable production systems that can adapt to changing business environments and selfmonitor.br 6. Building models, analyzing data, and scoring users on large scale distributed platforms.br 7. Computer science fundamentals and programming in languages including Python, Java, or Scalabr 8. Machine learning platforms Tensorflow, Keras and Caffe.br Up to two days per week telecommuting may be permitted.
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