Multimodal AI Engineer, Document Understanding
LlamaIndex(2 months ago)
About this role
The Multimodal AI Engineer, Document Understanding at LlamaIndex is responsible for developing, training, and optimizing machine learning models for document structure understanding and multimodal content processing. This role involves building robust data pipelines and production ML systems for processing complex documents at scale, while collaborating with engineering teams to integrate innovations into production APIs. The engineer will also focus on data evaluation, model fine-tuning, and contribute to both proprietary and open-source frameworks, driving technical decisions in a fast-paced environment.
Required Skills
- Machine Learning
- Document Understanding
- Data Pipelines
- Experimentation Infrastructure
- Production Systems
- Vision-Language Models
- Natural Language Processing
- Computer Vision
- Model Optimization
- Technical Communication
+11 more
About LlamaIndex
www.llamaindex.aiLlamaIndex is a pioneering AI company specializing in document processing and intelligent automations. Their flagship platform, LlamaCloud, facilitates powerful document parsing, extraction, indexing, and retrieval capabilities tailored for enterprise needs. With a focus on versatility, LlamaIndex empowers users to build custom workflows and AI agents that can seamlessly handle complex document workflows across various industries like finance, healthcare, and manufacturing. The company is recognized for its developer-first approach, providing comprehensive SDKs and support to accelerate the development of AI applications.
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