Lead AI Engineer
HumanaFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, or a related field, with a Master’s degree preferred. They must have at least 5 years of experience in developing and deploying AI models, particularly in the healthcare domain, and demonstrate strong proficiency in machine learning techniques, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is also required.
As a Senior AI Engineer, you will be responsible for designing, building, and deploying AI-powered solutions to enhance clinician efficiency and patient outcomes, focusing on automation, insights, and recommendations within clinical workflows. You will collaborate with cross-functional teams to integrate AI into real-world clinical environments, contribute to the development of scalable AI infrastructure, and conduct ongoing model monitoring and optimization to ensure accuracy and performance, ultimately driving significant improvements in medication adherence and patient care.
Optimizes medication management for patients
Arine focuses on improving medication management to enhance patient outcomes and lower healthcare costs, particularly for older adults and those with complex health needs. The platform uses data-driven analytics to provide personalized medication therapy management, ensuring that medications are tailored to each patient's health profile. Arine's clients include healthcare providers and insurance companies, who use the platform to improve care quality and patient satisfaction metrics. The company operates on a subscription model, offering tools for comprehensive medication management and optimization. By ensuring patients receive the correct medications, Arine aims to improve health outcomes and increase the efficiency of healthcare systems.