. 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.