AI Data Services Engineer
hace 1 mes
Welocalize, Inc. is seeking a highly skilled AI Data Services Engineer to join our team. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
The successful candidate will be responsible for delivering 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 will leverage applied experience and knowledge in developing AI models as context to engage and collaborate with customers.
The ideal candidate will have a strong understanding of data structures, proficiency in at least one scripting language (preferably Python), and experience with programming languages (preferably C#). They will also have hands-on experience in ML lifecycle applications, data management, data wrangling, and quality assurance for linguistic data.
The AI Data Services Engineer will collaborate with customers to understand their end goals, help define data and linguistic specifications, and accept protocols to enable the scoping of incoming AI projects. They will also manage the development and enhancement of AI enablement tools and NLP applications, as well as the creation of internal project specifications, linguistic guidelines, workflow instructions, and training content.
The successful candidate will have excellent communication and interpersonal skills, with a focus on managing client relationships. They will also have a passion for AI and ML technologies and a history of exploring new concepts and techniques.
Responsibilities:
- Collaborate with customers to understand their end goals and help define data and linguistic specifications.
- Manage the development and enhancement of AI enablement tools and NLP applications.
- Collaborate with the quality team to design and implement quality evaluation protocols.
- Communicate on project progress and address concerns or issues.
- Build strong relationships with clients.
Requirements:
- 3-5 years of experience in technical or consulting roles.
- Bachelor's degree in computational linguistics or an analytics-heavy field.
- Front-end development experience (nice to have).
- Strong understanding of data structures.
- Proficiency in at least one scripting language (preferably Python).
- Experience with programming languages (preferably C#).
- Experience with Jupyter or common data processing libraries (e.g., Pandas).
- Demonstrated ability to manage complex, cross-functional projects.
- Excellent communication and interpersonal skills.
- Passion for AI and ML technologies.
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