Spearhead the research, design, and implementation of advanced Generative AI algorithms and utilizing LLMs such as GPT-3, Llama.
Work on AI platforms such as Azure AI Studio or Amazon Bedrock
Collaborate closely with different teams to understand the business requirements and workflows and translate them into actionable technical solutions.  
Develop proof of concepts (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions, leveraging both open-source and private models.  
Implement modern Retrieval Augmented Generation (RAG) concepts to enhance the generation of relevant and accurate information in clinical settings.  
Act as a COE expert and technical point of contact for customers, understanding their requirements, addressing concerns, and providing technical support throughout the solution deployment phase.  
Develop and optimize deep learning architectures for text generation, data synthesis, and anomaly detection ensuring compliance with regulatory standards and guidelines.  
Utilize tools like Vectordb, Langchain, and LlamaIndex to optimize large-scale language model deployments and inference, ensuring efficiency and scalability.  
Stay up to date with the latest advancements in Generative AI frameworks and methodologies, evaluating emerging technologies and tools to enhance solution design and implementation.  
Document solution architectures, design decisions, implementation details, and lessons learned, contributing to the documentation, dissemination, and presentation of research findings.  
   
Qualifications:  
Bachelor's, Master's in Computer Science, Engineering, Mathematics, or a related field.  
Experience in AI, ML, and deep learning, with a focus on Generative AI applications.  
Proficiency in Python programming language and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face's Transformers library.  
Proficient in creating prompt templates using Langchain framework and employing various prompt engineering techniques with RAG for orchestrating API knowledge.  
Excellent problem-solving abilities, analytical thinking, and attention to detail.  
Effective communication skills, with the ability to collaborate effectively in a team environment and interact with customers.  
Experience in utilizing modern LLM frameworks in Gen AI, RAG Architectures, such as langchain, llamaindex, and vectordb concepts are an advantage.  
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform is plus.