Description
- Perform exploratory Analysis to identify critical elements that improve efficiency.
- Experience building specific LLM applications and drive development of end-to-end usecase such as automated content generation.
- Demonstrated expertise with Prompt Engineering
- Familiarity with Machine Learning Frameworks
- Develop, fine-tune, LLMs (e.g., llama) for tasks such as text generation, summarization, translation.
- Customize pre-trained models to specific use cases and domains, ensuring high performance and relevance.
- Strong Problem-solving skills
- Continuous learner and familiar with state-of-the-art works
- Familiarity with version control tools such as git
- Model, Build and test AI software
- Proficiency in Python, Javascript and C++ to create faster more capable AI software
- Analyze statistics, data, and algorithms for projection accuracy
- Work with a team of machine-learning and data engineers to ensure seamless AI development and integration
- Stay current on AI knowledge, trends, and regulations
- Deep understanding of data science, linear algebra, algorithms, and statistics
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