AI Software Engineer

Job Description

Design, build, and optimize AI features for an offline EHR platform, including developing software components, training machine learning models, and integrating NLP into clinical workflows. Analyze healthcare data and collaborate with product, clinical, and infrastructure teams to improve system performance, reliability, security, and scalability.

Requirements: Requires a strong foundation in computer science and software development, with experience designing, training, evaluating, and optimizing neural networks and pattern-recognition models. Candidates should have hands-on NLP experience, proficiency in a relevant programming language and AI/ML frameworks, and the ability to build secure, reliable systems for offline or low-bandwidth environments; a bachelor's or master's degree or equivalent practical experience is specified.

Key Skills: Software Development, Machine Learning, Neural Networks, Pattern Recognition, Natural Language Processing, Python, Java, C++, TensorFlow, PyTorch, Scikit-Learn, Offline Systems, Secure Data Handling, APIs, HL7, FHIR