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Sr. Data Engineer I

hackajob

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this 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 environment. 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 work 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. #J-18808-Ljbffr hackajob

Vacancy posted 14 hours ago
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