TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior 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. 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.
Requirements
- 5-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning.
- 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG!
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization)
- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
- Strong coding skills in Python 7+ years
- Experience working with AWS, RAG, SageMaker, SQL
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.
- DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
- Senior level experience deploying models in the Cloud (AWS) or Azure as secondary.
Other
- Master's or PhD Preferred!
- Translate complex business requirements into actionable stories with reasonable time estimates.
- Work with product leaders to apply data science solutions.
- Be a natural problem solver, able to take a lead in collaborating to resolve issues
- Have communication skills
