AI Data Engineer

hace 6 días

Guadalajara, Jalisco, México Welocalize A tiempo completo
About the Role

We are seeking a highly skilled Ai Data Engineer to join our team at Welocalize. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.

As an Ai Data Engineer, you will play a pivotal role in enabling 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.

Key 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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