Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python
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Sr. Machine Learning Engineer Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python
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