LLM Scientist
3 weeks ago
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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