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Job Description
The Lead ML Engineer at Sword Health develops and implements advanced AI and machine learning solutions to power personalized clinical care, including end-to-end treatment management systems and AI Care 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.
- Collaborate with cross-functional teams to enhance digital care quality and accessibility.
Requirements
- Candidates must possess a valid EU visa and be based in Portugal.
- Experience in developing AI and ML 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 in leveraging both generative AI and classical machine learning depending on the problem requirements.
- Strong understanding of AI and ML techniques applicable to personalized clinical care at scale.
- Ability to develop and implement AI solutions that contribute to delivering digital care with high clinical quality and accessibility.
Benefits & Perks
Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Work from home
Discretionary vacation
Snacks and beverages
English class
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