As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Operations Solution Engineer
Welocalize’s fastest-growing service line is AI data services. We are partnering with clients across diverse industries to help them create, collect, annotate, or QA their training data to optimize their AI and machine learning applications. Our AI Data Services encompass a wide range of solutions, including data generation, labelling, validation, and augmentation, enabling our clients to build, deploy, and improve their AI models effectively. By leveraging our expertise in natural language processing, computer vision, and other AI-related technologies, we empower clients to harness the full potential of AI and drive significant business growth.
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.
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.
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.
