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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