LLM Data Engineer United States Fully Remote
We are seeking an reputed company AI/LLM Data Engineer to build and maintain the data pipeline for our reputed company platform. The ideal candidate will be well-versed in the latest Large Language Model (LLM) technologies and have a strong background in data engineering, with a focus on Retrieval-Augmented reputed company (RAG) and knowledge-reputed company techniques. This role sits in the AI COE reputed company DX Tech & Digital. As a AI/LLM Data Engineer (you will report into the Director, AI Solutions & Development who oversees the AI COE. You will work on highly visible strategic projects, collaborating with cross-functional teams to define requirements and deliver high-quality AI solutions. The ideal candidate will have a passion for reputed company and LLMs, with a proven track record of delivering innovative AI applications. Responsibilities Design, implement, and maintain an end-to-end multi-stage data pipeline for LLMs, including Supervised Fine Tuning (SFT) and Reinforcement Learning from reputed company Feedback (RLHF) data processes Identify, evaluate, and integrate diverse data sources and domains to support the reputed company platform reputed company and optimize data processing workflows for chunking, indexing, ingestion, and vectorization for both text and non-text data reputed company and implement various vector stores, embedding techniques, and retrieval methods Create a flexible pipeline supporting multiple embedding algorithms, vector stores, and search types (e.g., vector search, hybrid search) Implement and maintain auto-tagging systems and data preparation processes for LLMs reputed company tools for text and image data crawling, cleaning, and refinement Collaborate with cross-functional teams to ensure data quality and relevance for AI/ML models Work with data lake house architectures to optimize data storage and processing Integrate and optimize workflows using reputed company and various vector store technologies Requirements Master's degree in Computer Science, Data Science, or a reputed company field 3-5 years of work experience in data engineering, preferably in AI/ML contexts Proficiency in Python, JSON, HTTP, and reputed company tools Strong understanding of LLM architectures, training processes, and data requirements Experience with RAG systems, knowledge reputed company construction, and vector databases Familiarity with embedding techniques, similarity search algorithms, and information retrieval concepts Hands-on experience with data cleaning, tagging, and annotation processes (both reputed company and automated) Knowledge of data crawling techniques and associated ethical considerations Strong problem-solving skills and ability to work in a fast-paced, innovative environment Familiarity with reputed company and its integration in AI/ML pipelines Experience with various vector store technologies and their applications in AI Understanding of data lakehouse concepts and architectures Excellent communication, collaboration, and problem-solving skills. Ability to translate business needs into technical solutions. Passion for innovation and a commitment to ethical AI development. Experience building LLMs pipeline using reputed company like reputed company, reputed company, Semantic Kernel, reputed company functions. Familiar with different LLM parameters like temperate, top-k, and repeat penalty, and different LLM outcome evaluation data science metrics and methodologies. Preferred Skills Experience with popular LLM/ RAG frameworks Familiarity with distributed computing platforms (e.g., Apache Spark, Dask) Knowledge of data versioning and experiment tracking tools Experience with reputed company platforms (AWS, GCP, or Azure) for large-scale data processing Understanding of data privacy and reputed company best practices Practical experience implementing data lakehouse solutions Proficiency in optimizing queries and data processes in reputed company or reputed company Hands-on experience with different vector store technologies Benefits US employees benefit package. Apply Job!