Pranatree LLC is seeking an experienced LLM Scientist to join our team focusing on the development finetuning and deployment of cuttingedge 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 highimpact projects that push the boundaries of what LLMs can achieve.
Responsibilities
LLM FineTuning and Development: Research finetune 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 productiongrade solutions for various use cases.
RAG Pipelines: Design and implement RetrievalAugmented 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 largescale environments.
Collaboration and Problem Solving: Work collaboratively with data scientists engineers and crossfunctional 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 finetuning 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: Handson experience with Generative AI and finetuning LLMs.
Soft Skills
Strong communication skills to convey complex technical ideas.
Problemsolving ability especially in unstructured and ambiguous scenarios.
Performance Expectations
Develop and finetune 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 AIdriven solutions.
Ensure scalable and highperformance AI systems through effective profiling and debugging practices.
This job was posted by Arulsakthi V from Prana Tree.
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