Machine Learning Data Engineer

August 22

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Description

• As a ML Data Engineer, you will build state-of-the-art machine learning data infrastructure. • You will build infrastructure to manage large scale datasets, build data processing tools, build data understanding tools, and most importantly research and innovate in the interplay between ML and data.

Requirements

• Experience with large scale data processing with MapReduce, Spark, Beam, Kubernetes. • Experience with SQL and no-SQL databases. • Python. • Applied machine learning experience, prior experience in training ML models on large scale datasets. • Image processing experience appreciated. • HTML/Javascript/CSS experience appreciated.