Machine Learning Data Engineer

August 29

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Description

• Build state-of-the-art machine learning data infrastructure. • Manage large scale datasets. • Build data processing tools. • Build data understanding tools. • 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.