Machine Learning Engineer III

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Would you enjoy learning how large language models (LLMs) are used in production environments? Are you excited to grow your skills while supporting teams that develop cutting-edge AI tools?

About Our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About The Role

We are looking for a skilled LLM Application Developer to join our team. You will be working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.

Responsibilities

• Build standalone applications that interact with LLM models
• Create RAG‑based applications
• Understand and integrate Vector Databases such as Solr for LLM based applications
• Integrate models with existing systems and APIs
• Implement production‑quality ETL jobs
• Preprocess and manage data for training and deployment
• Collaborate with cross‑functional teams to define, design, and ship new features
• Write clean, maintainable, and efficient code
• Document development processes, code, and APIs

Requirements

Benefits

Work-Life Balance

We promote a healthy work / life balance across the organization. We offer an appealing working prospect for our people, with numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both immediate responsibilities and long‑term goals. Working flexible hours and flexing the times when you work helps you fit everything in and work when you’re the most productive.

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