About Us

About the Role

We are seeking a highly skilled Senior Data 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.

Responsibilities:

• Test, evaluate 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.
• Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
• Keep abreast of new technology developments.
• Design and works with complex data models.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
• Mentor less senior data engineers on methodologies and optimization techniques.
• All other duties as assigned

Requirements

• Proven experience as a Data Engineer/ AI Engineer or similar role.
• Strong proficiency in Python programming.
• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
• 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.

Preferred Skills:

• 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.

Work in a way that works for you
 

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you
 

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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.



U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.



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.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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