Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Vector Embedding
Graph Points
Job Details
Hi
Position: LLM Developer
Work Location: Complete Remote
Start Date: ASAP
Key Responsibilities:
Developing and Optimizing ML Algorithms:
This involves researching, designing, and implementing various machine learning algorithms, including deep learning models like transformers, for LLMs. This also includes optimizing model performance for specific tasks and data types.
Working with Vector Embeddings:
LLMs rely heavily on vector representations of words, sentences, and even entire documents. The developer will work with these vector embeddings, potentially using techniques like Word2Vec, GloVe, or more advanced methods, to capture semantic meaning and relationships between text elements.
Graph-Based Approaches:
LLMs can benefit from graph structures to represent knowledge and reasoning. The developer will likely work with graph databases or graph neural networks to build knowledge graphs, perform reasoning tasks, and enhance the LLM's understanding of relationships between concepts.
Data Handling and Preprocessing:
LLMs require large amounts of data for training. The developer will be involved in data collection, cleaning, and preprocessing, including techniques like tokenization, handling different languages, and dealing with noisy data.
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