In this highly visible role, your primary responsibilities will include:- Developing LLM components for use in generative AI applications.- Enabling the organization to leverage data and drive efficiency in chip delivery.
Python programming experience
Hands-on-experience in NLP and Data Science principles (ie. Indexing knowledge, pre-processing data, or fine-tuning models).
Knowledge of current Gen AI research in one of the following areas: RAG, Semantic Search, Agents, or Prompt Engineering
Minimum requirement of BS and 10+ years of relevant industry experience
Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques
Strong background in ML related software engineering such as infrastructure, frameworks or tools
Proficiency in articulating technical and architectural challenges in a precise manner. Experience collaborating with partners to develop and iterate on solutions