Teams at MARSS Group

Perform preventative and corrective maintenance on deployable vehicles supporting MARSS NiDAR CUAS systems across the Gulf region. Troubleshoot mechanical and electrical faults, monitor vehicle performance, implement repairs and modifications, provide on-site and remote technical support, maintain documentation and inventories, and deliver on-the-job training. The role includes emergency on-call support, frequent site visits, incident response, and deployment for major incidents or projects.

Design and build an in-house, self-managed data platform and complex pipelines for structured, image, video, sensor, and time-series data. Responsibilities include offline-first ingestion, resumable transfers, reconciliation, data modeling, storage planning, orchestration, validation, quality monitoring, traceability, and ML data preparation. The role requires robust Python and SQL development, Linux administration, architecture ownership, and collaboration with machine learning, DevOps, and software engineering teams.

Build and operate self-hosted, offline-capable infrastructure for data pipelines and machine learning environments. Responsibilities include Linux server and VM administration, Docker containerization, ML lifecycle platform management, dataset and artifact versioning, orchestration, CI/CD automation, monitoring, troubleshooting, and resource optimization. The role integrates data pipelines with training and inference systems while supporting large heterogeneous datasets and documenting platform operations.