Teams at AiDash

Design, develop, deploy, and optimize scalable backend microservices and distributed systems supporting web and mobile applications. Build reliable, secure, observable services backed by relational and NoSQL databases, automated pipelines, and ML models. Collaborate with product and engineering teams, contribute to architecture, conduct code reviews, improve performance, and maintain high availability through testing, monitoring, refactoring, and security best practices.

Architect and operate the MLOps infrastructure for production model deployment, scalable inference, cost optimization, monitoring, failover, and disaster recovery. Build SageMaker-based serving and CI/CD systems with automated testing, staged rollouts, elasticity, and resilience. Establish MLOps standards as the first engineer on a new team while partnering with Data Science and Web Application teams to enable rapid, reliable model releases.

Build, test, and ship backend services and APIs in Java or Python. Work on scalable data pipelines processing satellite, sensor, and operational data; write documented, tested code; participate in reviews; debug production systems; and present an end-to-end project. The internship includes mentorship, cross-team collaboration, and potential consideration for a full-time return offer.