The Lead ML Engineer at Sword Health is responsible for developing and deploying advanced AI and machine learning solutions to enhance personalized clinical care, including building AI treatment management systems and conversational AI specialists, to improve healthcare accessibility and quality.
Key Responsibilities
Develop and implement AI and ML solutions for personalized clinical care.
Design and build end-to-end AI treatment management systems covering assessment, intervention, and monitoring.
Build and refine AI components such as prompt engineering, RAG implementations, and model fine-tuning.
Create agentic workflows and integrate generative AI and classical machine learning techniques based on problem requirements.
Contribute to improving digital healthcare quality and accessibility through AI innovations.
Requirements
Candidates must possess a valid EU visa and be based in Portugal.
Experience in developing AI and machine learning solutions, including end-to-end AI treatment management systems that handle complete care pathways from initial assessment through intervention selection and progress monitoring across various therapeutic domains.
Proficiency in prompt engineering, RAG (Retrieval-Augmented Generation) implementations, model fine-tuning, and agentic workflows.
Experience working with both generative AI and classical machine learning techniques, depending on the problem requirements.
Ability to develop and deploy AI and ML solutions that contribute to delivering digital care with high clinical quality and accessibility.