Llm scientist

3 weeks ago

Bengaluru, India Prana Tree Full time
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: Bachelor’s 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.
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.
Maintain clear documentation and provide regular updates to team members and stakeholders.

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