| Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
| From: Anusha, IT America [email protected] Reply to: [email protected] Role : Data Scientist Location : Remote Top Skills' Details - 5-7+ years of experience in AI and machine learning, model building and strong coding skills in python - 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. - Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. - Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation - 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) Nice to have: Candidate local to Raleigh is strongly preferred (hybrid schedule 2x per week) - Will look at absolute rockstars remotely from FANG Companies (Facebook, Amazon, Netflix, Google) Secondary Skills - Nice to Haves Python Machine learning cloud computing Job Description 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. 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, Shepards 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 Anthropics Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAIs GPT-4 and ChatGPT, hosted on Microsoft Azure. ACCOUNTABILITIES 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. Strong coding skills in Python 7+ years Be a natural problem solver, able to take a lead in collaborating to resolve issues Proficiency in IDE debugging : VSCODE and PYCHARM Have communication skills 4+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, classification models, diagnostic testing of models Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM (LangChain) in a business Experience working with AWS, RAG, SageMaker, SQL Additional Skills & Qualifications Keywords: artificial intelligence machine learning information technology North Dakota Data Scientist [email protected] |
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| Wed Jul 17 19:23:00 UTC 2024 |