Full Stack Engineer

AI/ML Full Stack Developer The Full Stack Developer AI/ML Engineers shall be responsible for:

Full Stack Development

• Design, develop, and enhance production-grade rApps using a full-stack engineering approach covering backend services, APIs, data workflows, microservices, and user-facing components.
• Build clean, maintainable, and scalable software with strong engineering discipline, version control, reusable design patterns, and production readiness.

Docker, Kubernetes & Deployment Engineering

• Contribute to container-based and cloud-native solution design for scalable, secure, and resilient rApps.
• Build Docker images, work with Kubernetes-based deployment patterns, and support containerized application packaging, service integration, observability, and operational readiness.

AI/ML & Data Science Implementation

• Apply AI/ML, analytics, and data science techniques to solve business and network problems including prediction, optimization, anomaly detection, automation, and decision support use cases within rApps.
• Build, integrate, test, and productionize models within the rApp environment.