. in Computer Science (preferred).
·      Building and owning large-scale machine learning models
·      Processing large datasets (predominantly text, but also images) and working with big data technologies, languages, and frameworks: SCOPE, Spark, SQL, Pytorch, Tensorflow, Python, C#, Java
·      Designing experiments, setting up evaluations and producing trustworthy conclusions.
·      3+ years of experience in one or more ML/Deep Learning, NLP, IR, databases, and graph algorithms.
·      1+ years of experience in parallel or distributed CPU/GPU processing, high-performance computing, or stream computing.
·      Experience in deploying Machine Learning/Deep Learning models in Azure/AWS/GCP.
·      Experience with Web applications and service architecture; Web information extraction is a plus.
·      Strong desire to keep up to date with research and potential applications. Vision for how to advance state of the art.
·      Successful candidates care about good software engineering practices, including version control, modular design, code quality, testing, and documentation.
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