Operations Solutions Engineer

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July 22

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Welocalize

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Artificial Intelligence • Enterprise • SaaS

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. • As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies. • We bring practical, applied AI expertise to projects. • Help us elevate our clients' Data at Welo Data. • In this role, you'll develop automations and integrations using Python and Javascript, improve data and workflow quality, and act as an advisor for both technical and non-technical teams.

🎯 Requirements

• 2+ years of experience in a technical role involving scripting, automations, or system integrations. • Strong communication skills, with the ability to simplify complex technical topics for non-technical audiences. • Proven ability to identify root causes of problems and propose effective technical solutions. • Some experience or familiarity with project management, especially in technical or cross-functional environments. • Experience working with APIs, automation platforms, or cloud tools (AWS, GCP, or Azure). • Proficiency in Python and JavaScript. • Exposure to C#. data pipelines, NLP, or machine learning concepts will be very beneficial. • Bachelor's Degree in Computer Science, Engineering, Math, or a related field, or equivalent work experience.