What You’ll Do
- Lead full-stack development : Android app + backend + cloud services
- Define system architecture, make key technology decisions
- Build and maintain ML Ops pipelines for AI model serving, monitoring, and CI / CD
- Develop app features : image capture, local processing, and efficient data sync
- Deploy infrastructure with Docker / Kubernetes on cloud
- Ensure system reliability, security, and scalability
- Mentor a small engineering team;
collaborate with product managers, AI researchers, and clinical experts
Design the platform to be reusable as a digital public goodWhat We Need
5–8 years of experience in software engineering, preferably with leadership or technical lead experienceExpertise in :ML Ops (model serving, monitoring)Full-stack developmentAndroid development, especially for low-end / resource-constrained devicesCloud infrastructure, Docker, KubernetesExcellent problem-solving skills and ownership mindsetGreat communication & mentorship abilitiesPassion for using technology for social goodPreferred But Not Mandatory
Experience in startups or small teamsExperience in low-resource or underserved environmentsKnowledge of data privacy, security, and compliance