Operations Solution Engineer

June 20

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Logo of Welocalize


Reach, Grow, and Engage Global Audiences with Multilingual Content

translation • localization • globalization • technology • machine translation

1001 - 5000


• 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. • We expect this role to leverage applied experience and knowledge in developing AI models as context to engage and collaborate with customers. • In Welocalize AI, projects are consultative engagements that help our customers launch, improve or maintain their ML models. These projects might include: - Collecting training data and/or testing data for language models for deployment in multilingual conversational AI, search relevance, or other implementations. - Data annotation and labeling to improve discovery/search results, model accuracy for sentiment analysis, sensitive content detection, and named entities. - Data validation and classification. - NLP Consulting. • Responsibilities - 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. - 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. - Collaborate with the quality team to design and implement quality evaluation protocols, data spec compliance tools, and defect management strategies. - Make fit-for-purpose work surface recommendations and work with internal product owners to advocate for features necessary to accomplish project goals. - Communicate on project progress, address concerns or issues, and build strong relationships with clients. - Coordinate with internal quality leads, project managers, linguists, and recruiters to ensure seamless project execution. - Stay current with the latest trends and advancements in AI and NLP, proactively exploring new technologies and methodologies to enhance our services. - Ability to manipulate and manage large data sets for file management across tools and platforms. - Learn and manage internal tools. Gain proficiency in Pantheon, our internal tool, to manage financial reporting requirements, and integrations, and support project tracking within AI projects. - Architect and propose client-facing technical solutions. Directly engage with clients to design and implement technical solutions that meet their specific AI and NLP needs.


• 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.


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

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