AI Data Engineer

We are seeking a highly skilled and experienced AI Data Engineer to join our dynamic team. The ideal candidate will be instrumental in designing, developing, and maintaining scalable data pipelines and architectures that support our cutting-edge AI and machine learning initiatives. This AI Data Engineer role requires a strong understanding of large language models and retrieval-augmented generation techniques to drive innovation in our data-driven products.

Key Responsibilities

• Design, build, and optimize robust data pipelines for large-scale AI applications.
• Implement and manage MLOps and LLMOps practices to ensure efficient deployment and monitoring of models.
• Collaborate with data scientists and machine learning engineers to integrate AI models into production systems.
• Develop and maintain data storage solutions, ensuring data quality, security, and accessibility.
• Utilize advanced techniques such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) in data solutions.
• Troubleshoot and resolve complex data-related issues, ensuring minimal disruption to operations.
• Stay abreast of the latest advancements in AI, machine learning, and data engineering technologies.

Requirements

• Proven experience as an AI Data Engineer or a similar role.
• Strong expertise in AI and data engineering principles and practices.
• Hands-on experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).
• Proficiency in MLOps and LLMOps methodologies and tools.
• Solid understanding of data warehousing, ETL processes, and database technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

What We Offer

• Competitive contract rate.
• Opportunity to work on innovative AI and machine learning projects.
• Collaborative and supportive team environment.
• Exposure to cutting-edge technologies and industry best practices.
• Flexible work locations in major tech hubs.