Key Responsibilities Build end-to-end RAG (Retrieval-Augmented Generation) pipelines for context-aware AI responses. Implement and fine-tune vLLM for efficient inference of large language models (LLMs). Collaborate with ML engineers to deploy transformer models (e.g., BERT, GPT variants)
Summary The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. The role focuses on building
SPACE AI is seeking an AI/ML engineer to build end-to-end RAG pipelines for context-aware AI responses and to optimize large language model inference with vLLM. You will collaborate with ML engineers to deploy transformer models and
Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) Perform data preparation activities including
Summary The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building
Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs. Note: Current FAU employees must apply as an internal applicant by logging into their
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