MedStar Health is looking to transform healthcare through innovative AI technology, enhancing patient care and streamlining operations by integrating internally developed and vendor machine learning algorithms and large language models.
Requirements
- Proficiency in programming languages such as Python, R and other common AI languages.
- Experience building production quality ML and AI systems
- Experience in DevOps and real-time ML and LLM model deployment and evaluation.
- Basic knowledge of healthcare data standards (e.g. HL7, FHIR) and medical terminologies (e.g. SNOMED CT, ICD-10)
- Experience building and deploying machine learning models in real-world settings
- Experience with RAG frameworks and Agentic workflows
- Full stack experience
Responsibilities
- Designs, develops and maintains scalable, secure and high-performance software applications that drive real-world impact in healthcare while maintaining the highest standards of security and compliance.
- Collaborates with data scientists, clinicians, researchers and engineers to develop and integrate AI-driven products that improve patient outcomes and operational efficiency
- Develops AI models at scale, ensuring performance, accuracy and integration with existing systems.
- Develops APIs to make AI capabilities accessible across the organization.
- Deploys, monitors and fine-tunes ML and LLM models in production, leveraging best practices in MLOps and cloud computing.
- Builds and maintains data pipelines, ensuring data quality, integrity, reliability and compliance with healthcare standards.
- Evaluates third-party AI solutions to identify those that complement internal capabilities and meet MedStar Health's strategic objectives and collaborates with vendors and internal stakeholders to integrate these solutions.
Other
- Bachelor's degree In Computer Science, Data Science, Artificial Intelligence or related field required
- 5-7 years Experience as an AI Engineer or in a similar role.
- Superior written and presentation skills to effectively communicate complex AI concepts and solutions.
- Ability to work cross-functionally with healthcare professionals and stakeholders to identify and address their needs
- Excellent problem-solving skills and ability to thrive in a demanding, fast-paced work environment
