Operations Solution Engineer

hace 3 semanas

Guadalajara, Jalisco, México Welocalize A tiempo completo
Unlock the Power of AI with Welocalize

As a trusted global transformation partner, Welocalize accelerates the global business journey by empowering brands and companies to reach, engage, and grow international audiences. Our team works across locations in North America, Europe, and Asia, serving our global clients in the markets that matter to them.

Main Purpose

The purpose of this Operations Solution Engineer role is to enable the delivery of high-quality AI data services to our clients, empowering them to harness the full potential of AI and NLP technologies in their operations. This role is pivotal to bridge the gap between Operations and customer needs, ensuring that our solutions are effectively implemented and optimized to meet client requirements.

Responsibilities
  • Collaborate with the Operations team to understand customers' project goals, help define data specifications, and acceptance protocols to enable scoping of incoming AI projects.
  • Provide engineering support for the development and enhancement of AI enablement tools and NLP applications, ensuring that internal project specifications and workflows are successfully implemented.
  • Work with the quality team to design and implement quality evaluation protocols, data specification compliance tools, and defect management strategies to ensure high standards are met throughout the project lifecycle.
  • Make fit-for-purpose work surface recommendations and work with internal product owners to advocate for features necessary to accomplish project goals.
  • Stay current with the latest trends and advancements in AI and NLP, proactively exploring new technologies and methodologies to enhance our services.
  • Manipulate and manage large data sets for file management across various tools and platforms to support project needs.
  • Assist in architecting and proposing client-facing technical solutions, ensuring that the internal implementation aligns with client-specific AI needs, even without direct client interaction.
Requirements

2+ years of engineering experience, ideally in a client-facing setting. Bachelor's degree with strong engineering background or an analytics-heavy field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience. Demonstrated proficiency in data structures to optimize data handling and processing, essential for effective AI model training and data management. Hands-on experience in ML lifecycle applications, data management, and data wrangling. Skills in front-end development for creating and managing specialized web tools would be a plus in this role. A track record in deploying, and maintaining NLP models, with a strong understanding of NLP concepts and techniques would be a plus. Proficiency in at least one scripting language, preferably Python. Experience with programming languages, preferably C#. Experience working with REST APIs. Experience with Jupyter or common data processing libraries (e.g., Pandas) is a plus. Passion for AI and ML technologies, with a history of exploring new concepts and techniques.

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