Senior Data Scientist I

Reed Technology

2d

About The Position

Are you looking to develop your Data Scientist experience? Would you enjoy working on our cutting-edge products? 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. About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html). Job Description: We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Requirements

• Proven experience as an AI Engineer or similar role.
• Strong proficiency in Python programming.
• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
• undefined Proven experience in prompt engineering
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Proficiency in data preprocessing and feature engineering techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Nice To Haves

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of natural language processing (NLP) techniques.
• Familiarity with version control systems (e.g., Git).
• Experience with deploying AI models in production environments.

Responsibilities

• Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG)
• Strong prompt engineering and prompt testing skills to derive the desired outcome
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Optimize and fine-tune RAG models for performance and scalability cost saving.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
• Write clean, efficient, and maintainable code in Python.
• Perform data preprocessing, feature engineering, and model evaluation.
• Troubleshoot and debug AI models and applications in a mono-repo settings.
• Document AI models, processes, and workflows.

Benefits

• We promote a healthy work/life balance across the organisation.
• We offer an appealing working prospect for our people.
• With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
• This job is eligible for an annual incentive bonus.
• We know your well-being and happiness are key to a long and successful career.
• We are delighted to offer country specific benefits.
• Click here to access benefits specific to your location.
• We are committed to providing a fair and accessible hiring process.
• If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed