Operations Solution Engineer

June 20

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Welocalize

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Reach, Grow, and Engage Global Audiences with Multilingual Content

translation • localization • globalization • technology • machine translation

1001 - 5000

Description

• Responsible for planning, implementing, and directing high-quality AI data services to clients. • Engage and collaborate with customers using experience and knowledge in developing AI and NLP models. • Consult with clients to help launch, improve, or maintain ML models. • Manage AI enablement tools, NLP applications, and internal project specifications. • Collaborate with quality team to design and implement quality evaluation protocols and data spec compliance tools. • Communicate project progress, address concerns, and build strong relationships with clients. • Stay current with AI and NLP trends, exploring new technologies and methodologies. • Manipulate and manage large data sets for file management across tools and platforms. • Learn and manage internal tools to support project tracking within AI projects. • Propose client-facing technical solutions and implement them based on client needs.

Requirements

• 3-5 years of experience in technical or consulting roles, such as product management, engineering, or business analysis. • Bachelor's degree in computational linguistics or an analytics-heavy field (e.g., computer science, engineering, economics, statistics) or equivalent work experience. • Front-end development experience (nice to have). Possessing front-end development skills to create and manage specialized web tools will be helpful in this role. • Strong understanding of data structures. Demonstrate proficiency in data structures to optimize data handling and processing, essential for effective AI model training and data management. • A proven track record in developing, deploying, and maintaining NLP models, with a strong understanding of NLP concepts and techniques. • Hands-on experience in ML lifecycle applications, data management, data wrangling, and quality assurance for linguistic data. • 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. • Demonstrated ability to manage complex, cross-functional projects, influence customers, stakeholders, and collaborators, and communicate complex concepts effectively to non-technical audiences. • Excellent communication and interpersonal skills, with a focus on managing client relationships. • Passion for AI and ML technologies and a history of exploring new concepts and techniques.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service