Title: Sr. Data Scientist

Location: Raleigh, NC Hybrid 2 Days Office

Duration: 12 Months

Visa: W2 Candidates only

Job Description:

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.

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

Enterprise Required Skills:

Data Science, NLP, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, AWS, algorithm, artificial intelligence, Python, Machine learning, cloud computing

Top Skills Details:

Please Review In Detail As Candidates Will Need To Have The Following Skills (No Exceptions):

• Master\'s or PhD Preferred!
• 3-10 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. UTILIZING RAG!
• 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) or Azure as secondary.

Thanks,

Gopal