Real-Time Edge AI & Computer Vision Engineer

FluxPose SL

Logroño

Hybrid

EUR 60.000 - 90.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Partial remote work

Zusammenfassung

FluxPose SL seeks a Machine Learning Engineer to develop and deploy ML systems for FluxPose hardware products. The role covers end-to-end development from experimentation to production deployment in real-time environments.

The candidate will work with computer vision, neural networks, and embedded hardware, turning research into robust, real-time solutions. Excellent Python and English skills are required.

Qualifikationen

  • Strong practical knowledge of ML and neural networks.
  • Fluent English with ability to communicate technical concepts clearly.
  • Proven experience with Python and PyTorch.
  • Experience training and evaluating neural networks.
  • Good understanding of datasets, augmentation, validation, generalization.

Aufgaben

  • Design, train, evaluate, and improve ML models for real-time sensing and tracking.
  • Develop computer vision and image-processing systems.
  • Build and maintain datasets, data collection pipelines, and evaluation tools.
  • Generate synthetic training data where appropriate.
  • Quantize and deploy neural networks to embedded or hardware-accelerated platforms.
  • Develop tools for training, visualization, benchmarking, and automated evaluation.
  • Investigate real-world failure cases and improve model robustness.
  • Collaborate with embedded, electronics, mechanical, and software engineers.

Kenntnisse

Python
PyTorch
Computer vision
Neural networks
Real-time systems
Embedded systems
English

Tools

ONNX
TensorFlow Lite
C/C++

Jobbeschreibung

FluxPose SL seeks a Machine Learning Engineer to develop and deploy ML systems for FluxPose hardware products. The role covers end-to-end development from experimentation to production deployment in real-time environments.

The candidate will work with computer vision, neural networks, and embedded hardware, turning research into robust, real-time solutions. Excellent Python and English skills are required.

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