Responsibilities

• Ensure our machine learning has robust data collection and training pipeline


• Build and maintain a stable environment on which to train data


• Test and deploy new machine learning models


• Familiar with the pain points of real-life data science applications to help us automate, strengthen, and improve our data acquisition pipelines and machine learning environment


• Ability to wear multiple hats and pair with data scientists, engineers, and business intelligence

• Expert in working with machine learning training/testing and inference environments


• Expert in machine learning libraries, preferably ample experience with Pytorch 


• Able to design and implement data acquisition, preprocessing, and ML training pipeline architectures


• Production-level python knowledge a must


• Scala knowledge is a strong plus


• Customer obsessed


• Thrives in a fully remote setting