AI Systems Engineer (Edge / MLOps)

Evolved Aerospace develops mission-critical aerospace systems designed for real operational use. We combine autonomy, software, sensing, and systems integration to deliver capability that performs in contested and constrained environments — not just in test settings. Our work is guided by a simple principle: platforms are means, not the objective. Mission outcomes define success. AI Systems Engineer (Edge / MLOps) Thisis a full time onsite position. You’ll architect and deploy AI systems spanning onboard and offboard components, focusing on performance, reliability, and real‑world deployment. Responsibilities Design Munin’s core AI architecture Build training and deployment pipelines Implement multi‑agent coordination logic Optimise models for real‑time edge inference Manage model monitoring, updates, and lifecycle Drive synthetic data strategies Core Skills Deep learning architectures Edge/offboard AI systems Model optimisation (quantisation, pruning) Dataset engineering Tools & Tech PyTorch TensorRT ONNX Docker MLflow/W&B If you’re driven by real-world impact, we’d like to hear from you. Evolved Aerospace is an equal opportunity employer. #J-18808-Ljbffr