About the Role
Overview
We are looking for a Machine Learning Engineer who will be responsible for improving and maintaining our machine learning models/pipelines, developing scalable ETL pipelines, and optimizing the end-to-end data processing workflow. This role requires strong experience in computer vision, OCR, and deep learning, as well as the ability to deploy models in a production environment.
Responsibilities
Design, develop, and maintain data pipelines to manage TIFF images, extracted fields, CSV, PDF, XML, and structured outputs.
Build and optimize ETL workflows for preprocessing (resizing, rotation, denoising) and ML pipeline integration.
Develop, train, evaluate, deploy, and monitor deep learning models in a production environment.
Develop API endpoints and integrate structured data into the existing data keying application.
Implement logging, monitoring, and error-handling mechanisms for model performance and data consistency.
Work with Dockerized deployments to ...
We are looking for a Machine Learning Engineer who will be responsible for improving and maintaining our machine learning models/pipelines, developing scalable ETL pipelines, and optimizing the end-to-end data processing workflow. This role requires strong experience in computer vision, OCR, and deep learning, as well as the ability to deploy models in a production environment.
Responsibilities
Design, develop, and maintain data pipelines to manage TIFF images, extracted fields, CSV, PDF, XML, and structured outputs.
Build and optimize ETL workflows for preprocessing (resizing, rotation, denoising) and ML pipeline integration.
Develop, train, evaluate, deploy, and monitor deep learning models in a production environment.
Develop API endpoints and integrate structured data into the existing data keying application.
Implement logging, monitoring, and error-handling mechanisms for model performance and data consistency.
Work with Dockerized deployments to ...
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