Data Scientist

Skills

- 5-7+ years of experience in AI and machine learning model building and strong coding skills in python - Experience working directly with large language models and Transformer based architectures including BERT RoBERTa T5 etc. - DevOps repos Debugging building APIs and managing the algorithm flow across multiple workstreams in one repo - Working knowledge of applying recent LLMs including ChatGPT GPT 3.5 OPT BLOOM etc. - Senior level experience deploying models in the Cloud (AWS)

Description

Data Scientist for their flagship product, LexisNexis® Legal & Professional, a leading global provider of information and analytics. Recently LexisNexis has focused on the general availability of Lexis+ AI™ for U.S. customers, a generative AI solution designed to transform legal work. Lexis+ AI delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary LexisNexis search technology, Shepard’s® Citations functionality, and authoritative content.

The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for LexisNexis in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic’s Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI’s GPT-4 and ChatGPT, hosted on Microsoft Azure.

Responsibilities

• • Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
• • Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data.
• • Apply machine learning techniques for improving search algorithms.
• • Drive best practices for NLP/Machine Learning pipelines.
• • Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives.
• • Translate complex business requirements into actionable stories with reasonable time estimates.
• • Work with product leaders to apply data science solutions.
• - 7+ years of experience in AI and machine learning, model building and strong coding skills in python
• - Deep understanding of NLP including text classifier, re-ranker, topic modeling…
• - Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
• - Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
• - Experience with reinforcement learning, prompt engineering, hallucination mitigation
• - DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
• - Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
• - Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
• - Strong work ethics and dedication to the project success
• - Strong problem-solving skills and the ability to think outside the box
• - Collaborative behavior, ability to efficiently share code and knowledge and good teammate.