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4 weeks ago
We are seeking a GenAI/Data Scientist to join our AI Innovation Team. This role will focus on experimenting, optimizing, and applying Generative AI off-the-shelf models to extract valuable insights from large-scale patent datasets and enhance our search and analytics tools.
Responsibilities:
- Perform EDA, design, build, and deploy pipelines utilizing LLM models to enhance patent search and analytics applications.
- Stay up to date with the latest research and developments in the field of natural language processing (NLP) and machine learning.
- Work on GenAI techniques like Prompt Engineering, RAG (Retrieval-Augmented Generation) and perform evaluation using frameworks to optimize LLM performance.
- Develop and implement machine learning workflows, focusing on the integration of GenAI with existing data infrastructure.
- Collaborate with the team to explore Generative AI use cases, including automated summarization, natural language understanding, and text generation.
- Conduct experiments to evaluate model performance, identify areas for improvement, and implement enhancements.
- Perform continuous evaluations and improvements of models to handle large volumes of patent data.
- Work with stakeholders across teams to identify key areas for AI-driven innovation and enhancement in data products.
- Use Python, SQL, PySpark and related technologies to develop scalable solutions, focusing on large-scale data processing.
Qualifications:
- Demonstrate 3+ years of experience in data science, with a focus on NLP, Generative AI and LLMs.
- Proficiency in Python and experience working with transformer-based LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc).
- Knowledge of Prompt Engineering, RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality.
- Experience working with cloud platforms like Azure, AWS, or GCP for machine learning workflows.
- Understanding of data engineering pipelines and distributed data processing (e.g., Databricks, Apache Spark).
- Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques.
- Experience with LangChain / LlamaIndex, vector databases (e.g., FAISS), fine-tuning models on domain-specific data would be an advantage
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.