The Project aims to develop an AI-driven healthcare engineering platform that integrates advanced machine learning and data analytics to improve patient outcomes.
Requirements
- Minimum 7 years of hands-on experience designing and implementing scalable, secure, and high-performance RESTful and/or GraphQL APIs using microservice architecture.
- Minimum 7 years of experience deploying and managing APIs on major cloud platforms (such as AWS, Azure, or GCP) and utilizing containerization technologies (such as Docker and Kubernetes).
- Minimum 7 years of experience leading development teams, conducting code reviews, and providing constructive feedback to ensure code quality and adherence to best practices.
- Minimum 7 years of experience architecting and deploying AI/ML models within API frameworks, with a strong preference for experience in predictive analytics or patient risk scoring in healthcare environments.
- Minimum 7 years of experience collaborating with product managers, data scientists, and healthcare professionals to align technical solutions with business and clinical requirements.
- Minimum 7 years of experience monitoring API performance, troubleshooting bottlenecks, and implementing improvements for reliability and scalability.
- Minimum 7 years of experience working with healthcare data standards (such as HL7, FHIR) and understanding of regulatory requirements (such as HIPAA compliance) is highly desirable.
Responsibilities
- Lead the design of scalable, secure and high performance RESTful and/or GraphQL and AI-enabled APIs
- Collaborate with cross-functional teams and conduct code reviews and provide constructive feedback
- Monitor API performance, troubleshoot bottlenecks, and implement improvements.
- Architect and deploy AI/ML models for predictive analytics and patient risk scoring.
- Work closely with product managers, and data scientsts to align technical solutions with healthcare needs.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
Other
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
