Responsibilities

The Senior Analyst, Machine Learning Engineer will develop applications using large language models like GPT3.5/4 and LLAMA2 to extract insights and create multi-step agents to automate processes, utilize machine learning techniques to create models that can predict future trends based on historical healthcare data, implement NLP techniques to analyze and interpret complex medical text data, design Data Pipelines, Modeling Pipelines, Inference pipelines, orchestrate the entire lifecycle of machine learning projects, publish Inference Endpoints for consumers, design solutions to deploy ML Solutions in Batch or Interactive ways, design and develop personalized recommendation algorithms to optimize device usage and enhance patient care, create models capable of identifying unusual patterns or outliers in healthcare data to enhance early detection of potential health risks, extract and analyze data from various sources using advanced data mining techniques and SQL, and work in collaboration with the UI/UX team to integrate machine learning models into the user interface of medical devices.