NLP Engineer (LLM Specialist)

The artificial intelligence field is evolving fast. In just a couple of years, technology is becoming pervasive and all companies are using it to some extent, and at TransPerfect, we are no exception. As part of the Artificial Intelligence team (AI team), the NLP Engineer (LLM Specialist) will work with experts in technologies like Large Language Models (LLMs) and contribute to products that meet the needs of our clients. The NLP Engineer will advance the state-of-the-art in NLP technology, with a specific focus on translation, multilingual content generation, and retrieval-augmented generation (RAG) systems.

In this role, the NLP Engineer is responsible for understanding and assisting in the development, design, and implementation of AI-focused software products related to natural language processing. The position involves collaboration with the Product Manager (PdM), and other team members to ensure software projects align with organizational goals. The role also involves coordination with the Quality Assurance team (QA team) during the development process and assisting the Support team with troubleshooting and bug fixing.

DESCRIPTION

• Participate actively in one or more projects involving LLMs and their integration into business solutions.
• Diverse duties include analysis, design, development, maintenance, and support of complex AI applications, web services, and APIs focused on NLP solutions.
• Work on projects related to machine translation, summarization, and natural language generation, collaborating with both internal teams and external clients to achieve sophisticated business objectives.
• Gather, curate, and categorize necessary data for building technologies, leveraging publicly available datasets to enhance data quality and robustness.
• Define and propose artificial intelligence solutions to address complex business goals, including consultations with clients and internal stakeholders.
• Engage in the development of multilingual content generation and RAG systems, with opportunities to substantially shape the product roadmap.
• Write and implement efficient and clean code while maintaining and optimizing existing code bases, including performing bug fixes and hot patches.
• Document code and processes clearly for other members of the AI team.
• Continuously evaluate processes for inefficiencies and make improvement recommendations.

REQUIRED SKILLS

REQUIRED EXPERIENCE AND QUALIFICATIONS

DESIRED SKILLS AND EXPERIENCE

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