
Chief Natural Language Processing Architect
2 weeks ago
Architecting Large Language Models is a complex task that requires the design and development of large language models to process and generate natural language.
- Designing neural network parameters for these models involves selecting the right architecture, activation functions, and hyperparameters.
- Training models on extensive datasets of unlabeled text data is crucial for improving their accuracy and adaptability.
- Collaborating with cross-functional teams to refine model performance and contribute to innovative solutions in natural language processing is also essential.
The ideal candidate will have proficiency in Large Language Models, strong understanding of neural network architectures, experience with natural language processing techniques and tools, familiarity with data preprocessing and augmentation methods, as well as ability to analyze and interpret model performance metrics.
Key Responsibilities:
1. Design and develop large language models to process and generate natural language.
2. Collaborate with cross-functional teams to refine model performance and contribute to innovative solutions in natural language processing.
3. Stay up-to-date with the latest advancements in AI/ML and apply this knowledge to drive business outcomes.
Requirements:
1. Proficiency in Large Language Models and ability to design and develop them.
2. Strong understanding of neural network architectures and their applications in NLP.
3. Experience with natural language processing techniques and tools, including data preprocessing and augmentation methods.
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