Welocalize
Welocalize is a provider of language services and AI-powered solutions aimed at improving global content delivery and engagement. With its innovative platform, OPAL, Welocalize leverages cutting-edge AI technologies, such as machine translation engines and natural language processing, to automate and enhance translations at scale. Their services cater to various industries, including legal, life sciences, technology, and entertainment, offering customized workflows to optimize the translation, review, and approval processes. The company also emphasizes high-quality, ethical data sourcing for AI model training under its Welo Data brand, supporting AI development with advanced data annotation and natural language solutions.
translation • localization • globalization • technology • machine translation
Data Operations Engineer
November 21, 2024
Welocalize
Welocalize is a provider of language services and AI-powered solutions aimed at improving global content delivery and engagement. With its innovative platform, OPAL, Welocalize leverages cutting-edge AI technologies, such as machine translation engines and natural language processing, to automate and enhance translations at scale. Their services cater to various industries, including legal, life sciences, technology, and entertainment, offering customized workflows to optimize the translation, review, and approval processes. The company also emphasizes high-quality, ethical data sourcing for AI model training under its Welo Data brand, supporting AI development with advanced data annotation and natural language solutions.
translation • localization • globalization • technology • machine translation
📋 Description
•As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. •Delivers multilingual content transformation services. •The Data Operations Engineer is a key player in data ecosystem development and maintenance.
🎯 Requirements
•Understanding business requirements and desired outcomes. •Building and maintaining robust ETL processes. •Developing and maintaining scalable and reliable data pipelines. •Supporting data transformation and migration. •Engaging with data engineering tasks. •Collaborating with technical teams.
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