LLM Scientist

Job Overview :

Pranatree LLC is seeking an experienced LLM Scientist to join our team, focusing on the development, fine-tuning, and deployment of cutting-edge Large Language Models (LLMs) and Generative AI solutions. This role requires a strong foundation in data science, AI, and software engineering, with a particular emphasis on building innovative solutions for complex, unstructured problems. The position is remote and involves working on high-impact projects that push the boundaries of what LLMs can achieve.

Key Responsibilities :

- LLM Fine-Tuning and Development : Research, fine-tune, and deploy LLMs, optimizing their capabilities to solve diverse AI problems.

- Generative AI Solutions : Leverage advanced AI and machine learning techniques to build prototypes and production-grade solutions for various use cases.

- RAG Pipelines : Design and implement Retrieval-Augmented Generation pipelines to improve the accuracy and relevance of AI outputs.

- Prototyping : Build and demonstrate working prototypes using frameworks such as Streamlit or Dash.

- Algorithm and Data Structures Expertise : Apply strong knowledge of algorithms and data structures to parse and process unstructured data effectively.

- System Performance and Debugging : Profile, debug, and optimize machine learning systems for scalability and performance in large-scale environments.

- Collaboration and Problem Solving : Work collaboratively with data scientists, engineers, and cross-functional teams to solve unstructured, complex problems using AI.

- Communication : Communicate technical concepts and project updates clearly and effectively to stakeholders.

Qualifications and Requirements :

- Education : Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

Experience :

- Minimum of 5 years of experience in software development, including relevant work in AI and machine learning.

Technical Skills :

- Programming Proficiency : Strong coding skills in Python, Java, or C++.

- Data Science and AI : Solid foundation in data science and experience with Generative AI.

- LLM Expertise : Experience with fine-tuning large language models and familiarity with RAG pipelines.

- Frameworks for Prototyping : Proficiency in building prototypes using Streamlit, Dash, or similar app frameworks.

- Algorithms and Data Structures : Strong background in algorithms, data structures, and parsing unstructured data.

- System Performance : Experience with profiling, debugging, and ensuring the scalability of machine learning systems.

- Preferred Experience : Hands-on experience with Generative AI and fine-tuning LLMs.

Soft Skills :

- Strong communication skills to convey complex technical ideas.

- Problem-solving ability, especially in unstructured and ambiguous scenarios.