Llm Scientist (Bengaluru)

Hi All, 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. - 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: Bachelors 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: Solid 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: - .