Artificial Intelligence/Large Language Model Engineer

Bachelor of Science degree in Computer Science, Information Technology, or related field, or equivalent experience
10+ years of software development experience
At least 2-3 years working with machine learning applications
Strong Python programming skills
Familiarity with NLP libraries like HuggingFace, Transformers, spaCy, NLTK or LangChain
Experience focused on fine-tuning opensource LLM’s (LLaMa, Mistral, GPT) and crafting optimized prompts for inference
Solid grasp of transformer-based models, attention mechanisms, tokenization and strategies, language modeling principals
Experience preparing and curating text datasets for tasks like text classification, summarization, Q&A, and generative text
Familiarity with deploying LLMs via APIs using FastAPI/Flask, Docker and serving them efficiently
Experience training and running LLMs on GPUs using AWS, Azure or GSP with awareness of memory optimization, and inference speed-ups
Ability to obtain an NIH Public Trust

Provide consultative and implementation services to NHLBI to advance the institute’s use of AI to improve operating efficiency and effectiveness
Work directly with scientific and business users to evaluate areas where AI can be leveraged to streamline functions related to scientific review of information
Support and expand existing AI solutions (both ML and LLM-based) that are using industry LLM’s and services
Help NHLBI assess the effectiveness of existing and potential AI solutions, and provide insights and implementation to improve those solutions
Work with NHLBI staff to improve their use of AI solutions through training and consultation
Help NHLBI incorporate AI more broadly into their portfolio of IT solutions and provide insights into NHLBI’s AI direction and roadmap
Work with NHLBI’s Enterprise Architecture team to ensure projects follow required standards and objectives
Create design, implementation, and operations documentation related to proposed and implemented solutions