Project Opportunity in AI

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PrecisCa, a Florida-based company offering oncology services, is seeking a highly motivated graduate or senior undergraduate student with experience in building AI-based tools for a project aimed at developing decision support software in oncology. The selected candidate will:      ·       Utilize large language models (LLMs) to process and analyze case discussions and educational content from an innovative oncology platform. ·       Design and implement machine learning models for decision-making support in clinical settings. ·       Gain hands-on experience with real-world applications of AI in healthcare.   The candidate must have the following skills:   ·       Background in machine learning/AI. ·       Experience with using and fine-tuning application-scale LLMs. ·       Experience in developing deployable applications. ·       Familiarity with implementing apps on AWS or other cloud platforms.   This is a flexible open-ended position with a duration and total number of hours dependent on the time needed to complete the immediate tasks and possible new opportunities that may emerge as a result. The rate is negotiable based on candidate skills and experience, with a minimum of $30/hr. Only candidates with authorization to work off-campus should apply. All work will be done remotely without any use of University facilities.     About PrecisCa PrecisCa, established in 2020 and headquartered in Boca Raton, Florida, is a company specializing in oncology education and support services. The organization offers multidisciplinary virtual expert cancer panels and a comprehensive library of over 1,700 educational to assist oncology providers and their patients. PrecisCa’s focus on fostering the growth of future oncology leaders through immersive virtual series and its dedication to developing new educational content position the company well for future growth.

Price: $25.0

Artificial Intelligence Machine Learning Large Language Model Natural Language Processing Neural Network Data Science Deep Learning TensorFlow Amazon Web Services Cloud Architecture