Mlops / Infrastructure Engineer

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• Design, build, and maintain automated build, testing, and deployment pipelines for eFiche’s AI services • Manage cloud and on-premise infrastructure, including server provisioning, containerisation, and environment management • Own AI model serving infrastructure — deployment, versioning, latency monitoring, and rollback protocols • Ensure infrastructure compliance with Rwanda’s NCSA cybersecurity standards and the project’s data governance framework • Monitor system uptime, performance, and incident response; maintain ≥95% uptime SLA • Support security audits and penetration test remediations • Ensure the AI services layer remains available and performant when communicating with national health system API endpoints • 5+ years of experience in DevOps, infrastructure engineering, or MLOps • Proficiency in containerisation (Docker, Kubernetes or equivalent) and cloud infrastructure (AWS, GCP, or Azure) • Experience deploying and serving ML models in production environments • Familiarity with automated build and deployment tooling (GitHub Actions, GitLab CI, or equivalent) • Understanding of data security, encryption, and access control principles • Experience in low-resource or offline-first deployment contexts is a strong advantage • Health tech experience is an advantage but not required