LLM Scientist

5 days ago


Bengaluru, India Prana Tree Full time
Job OverviewPranatree 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 ResponsibilitiesLLM 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 RequirementsEducation:

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 ExpectationsDevelop 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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