LLM Data Engineer reputed company 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 reputed company-versed in the latest Large Language Model (LLM) technologies and have a strong background in data engineering, with a reputed company 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 reputed company, collaborating with cross-functional teams
to define requirements and deliver high-reputed company AI solutions.
The ideal candidate will have a passion for reputed company and LLMs, with a proven reputed company 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 reputed company 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 reputed company stores, embedding techniques, and retrieval reputed company
Create a flexible pipeline supporting multiple embedding algorithms, reputed company stores, and search types (e.g., reputed company 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 reputed company and relevance for AI/ML models
Work with data lake house architectures to optimize data storage and processing
reputed company and optimize workflows using reputed company and various reputed company 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 reputed company 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 reputed company 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 reputed company LLM/ RAG frameworks
Familiarity with distributed computing platforms (e.g., Apache reputed company, Dask)
Knowledge of data versioning and experiment tracking tools
Experience with reputed company platforms (AWS, GCP, or Azure) for large-reputed company data processing
Understanding of data reputed company 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 reputed company store technologies
Benefits
US employees benefit package.
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