
location_onLittle Rock Trail, Warehouse District, Raleigh, Wake County, North Carolina, 27602, United States
LexisNexis Legal & Professional is part of RELX, a global provider of information-based analytics and decision tools serving customers in over 150 countries. As a long-time leader in the legal market, we deploy ethical and powerful generative AI solutions to improve productivity and transform the practice of law. Our approach utilizes a flexible, multi-model strategy that prioritizes selecting the best model for each specific legal use case. We employ over 2,000 technologists, data scientists, and experts dedicated to developing, testing, and validating solutions in strict alignment with RELX Responsible AI Principles.
This is an exciting opportunity for a Manager, Data Science – Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform. In this role, you will enable autonomous content creation and optimization to enhance customer engagement at scale. You will be responsible for setting the strategy and team direction with a clear vision for Data Science, while driving best practices across the function. The role is ideal for a natural problem solver who enjoys coaching others to achieve high standards and mentoring junior data scientists on AI and machine learning best practices.
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Work model: On-site
Little Rock Trail, Warehouse District, Raleigh, Wake County, North Carolina, 27602, United States
Raleigh, North Carolina
Deep understanding of machine learning algorithms including deep learning, gradient boosting, and random forests. Experience working directly with large language models and Transformer-based architectures (BERT, RoBERTa, T5). Working knowledge of applying recent LLMs (ChatGPT, GPT 3.5, OPT, BLOOM). Experience with reinforcement learning, prompt engineering, and hallucination mitigation. Working understanding of business risks associated with applying LLMs. Experience with large datasets and distributed computing systems (Hadoop, Spark). Strong coding skills in Python or another programming language. Excellent communication skills to translate complex technical concepts to non-technical stakeholders. Strong problem-solving skills and ability to think outside the box.