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Machine Learning Software Engineer

Description
We are seeking a software engineer experienced in artificial intelligence and deep learning techniques to design, develop, deploy and support machine learning components capable of analyzing web content at scale. Using state of the art machine learning tools, software and approaches, you will be part of a team solving some of the most interesting data science challenges in the tech industry involving artificial intelligence and deep learning of web content.
Skills and Experience
An advanced degree in one or more of the following fields: Computer Science, Data Science, Mathematics, Computational Statistics and/or Machine Learning.
Hands on experience developing and tuning supervised and unsupervised machine learning algorithms.
Experience implementing various types of Neural Networks including Convolutional Neural Networks (CNNs) and/or Recurrent Neural Networks (RNNs).
Hands on experience with model training, evaluation, tuning, performance and deployment.
Experience with evaluating frameworks, tools, techniques and approaches related to machine learning.
Experience and a successful track record of deploying multiple machine learning projects, components or systems.
Able to communicate and explain complex machine learning concepts to both technical and business colleagues.
Excellent verbal, written presentation and communication skills.
Technical Requirements
Experience with one or more ML frameworks such as TensorFlow, Keras, Spark MLlib, etc.
Experience with one or more ML techniques (CNN, RNN, Decision Trees, etc.).
Experience with one or more ML areas including Natural Language Processing, Text Classification and/or Computer Vision.
Experience with one or more of the following computer languages, Java, Python, C#, R, C++.
Experience with statistics and mathematical theory is desirable.
Knowledge of HTML standards and web development experience is desirable.


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