Job description Pranatree LLC is seeking an experienced Data 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. 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. Requirements • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work 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. Performance Expectations • Develop and fine-tune LLMs for various applications, ensuring high performance and reliability. • Design and deploy prototypes that showcase practical uses of LLMs and Generative AI. • Collaborate effectively within a multidisciplinary team to develop innovative AI-driven solutions. • Ensure scalable and high-performance AI systems through effective profiling and debugging practices.