30 ago
|
Lexisnexis Risk Solutions
|
Ciudad de México
30 ago
Lexisnexis Risk Solutions
Ciudad de México
Are you excited to help shape the future of AI-powered legal technology using generative AI, RAG architectures, and agentic workflows? Do you thrive in building scalable AI solutions that deliver measurable customer value while contributing directly to production-quality software? 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 versátil, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.
As a Senior II Data Scientist, you will lead the development of innovative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. You will work closely with product managers, domain experts, and stakeholders to translate business needs into scalable, production-ready solutions while contributing directly to software development and continuous innovation.
Lead the end-to-end lifecycle of AI projects (leveraging LLMs, RAG architectures, and agentic workflows), from problem definition and experimentation through deployment, evaluation, and continuous improvement.
Monitor, evaluate and optimize AI system performance using metrics, user feedback, and experimentation frameworks.
Contribute directly to software development as an individual contributor.
Design and implement scalable AI solution architectures, including data ingestion, retrieval, generat
📌 Senior Data Scientist (Ciudad de México)
🏢 Lexisnexis Risk Solutions
📍 Ciudad de México