["5C Network is building multi-modal AI for autonomous diagnosis of medical imaging. This role focuses on developing advanced AI models for medical imaging analysis using Large Language Models."]},{heading:"Key Responsibilities" , points:["Develop and optimize prompts for various LLM tasks, ensuring high performance in different use cases.","Work on instruction fine-tuning for specific tasks to adapt models to custom requirements.","Develop workflows for Retrieval-Augmented Generation (RAG) systems to combine LLMs with external knowledge bases."]},{heading:"LLM Deployment",points:["Set up and manage the deployment of LLMs in production environments.","Ensure scalability, security, and performance in self-hosted LLM environments.","Work with quantization techniques to optimize model performance and reduce memory footprint."]},{heading:"Dataset Building and Chain of Thought (CoT)",points:["Build and manage high-quality datasets to enable Chain of Thought (CoT) reasoning in LLMs.","Annotate and refine datasets to improve LLM performance in complex multi-step reasoning tasks."]},{heading:"Vector Databases and RAG Integration",points:["Work with Vector Databases (ideally Qdrant) to implement RAG-based solutions, combining LLMs with semantic search and retrieval.","Ensure efficient storage, indexing, and retrieval of vectorized data for enhanced LLM performance."]} , {heading:"Collaboration and Research",points:["Collaborate with AI researchers and engineers to integrate LLMs into production systems.","Research and experiment with new LLM architectures and approaches to improve task performance."]} , {heading:"Qualifications" , points:["Bachelors or Masters degree in Computer Science, Data Science, or related field","Prior experience in self-hosting LLMs and working with deployment frameworks.","Prior experience or strong interest in healthcare AI applications.","Excellent problem-solving and analytical skills.","Strong communication skills and ability to work in a collaborative research environment"]} , {heading:"Technical Requirements",points:["2+ years experience in Deep Learning with 1+ years experience in LLMs","Python Expertise: Ability to write clean, scalable code for LLM deployment and fine-tuning.","LLM Knowledge: Experience with instruction fine-tuning, quantization, prompt engineering and RAG-based systems.","LLM Deployment: Understanding of the tools and processes for self-hosting LLMs, including optimization and scaling techniques."]},{heading:"Role Details",points:["Work Type: In-person","Location: Bangalore"