Key Responsibilities :
M.S 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 of 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 the state of the art.
Successful candidates care about good software engineering practices, including version control, modular design, code quality, testing, and Documentation.