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Evolved Aerospace

AI Systems Engineer (Edge / MLOps)

Evolved Aerospace · SE · 140d ago
Mid-Level
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About the role

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)

Location: Linkoping, Sweden
Team: Munin CCI

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 
    • Seniority Mid-Level
    Location SE
    Posted 140d ago
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