Job Description

Responsibilities:

Design the data pipelines and engineering infrastructure to support our clients’

enterprise machine learning systems at scale

Take offline models data scientists build and turn them into a real machine

learning production system

Develop and deploy scalable tools and services for our clients to handle machine

learning training and inference

Identify and evaluate new technologies to improve performance, maintainability,

and reliability of our clients’ machine learning systems

Apply software engineering rigor and best practices to machine learning,

including CI/CD, automation, etc.

Support model development, with an emphasis on auditability, versioning, and

data security

Facilitate the development and deployment of proof-of-concept machine learning

systems

Communicate with clients to build requirements and track progress


Qualifi...

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