Edge AI Engineer — On-Device ML & Vision Architect

Sigma Connectivity AB

Lunds kommun

Hybrid

SEK 554.016 - 831.024

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Generous Vacation Time (25 days annual paid vacation)
Health and Wellness Benefits allocation
Flexible work hours and remote work options

Zusammenfassung

Sigma Connectivity AB in Lund, Sweden is seeking a passionate AI/ML professional to work on cutting-edge technologies across various domains. Key responsibilities include designing, training, and validating ML models for computer vision and embedded systems.

The ideal candidate will have strong experience in Python and ML frameworks, a Master's or PhD in a related field, and at least 2 years of hands-on experience. The role offers flexible working hours, opportunities for professional growth, and a vibrant work environment.

Qualifikationen

  • Strong hands-on experience in Python and ML frameworks.
  • Ability to build and deploy ML models for Edge or Embedded platforms.
  • Experience with data pipelines and performance analysis.

Aufgaben

  • Design, train, and validate ML models for various applications.
  • Develop and optimize ML pipelines for on-device inference.
  • Collaborate with cross-functional teams to integrate ML functionality.

Kenntnisse

Python
ML frameworks (PyTorch, TensorFlow)
Computer Vision
Data processing and analysis
Communication skills

Ausbildung

Master's or PhD in ML, Robotics, Autonomous Systems or related fields

Tools

OpenCV
Docker
FastAPI

Jobbeschreibung

Sigma Connectivity AB in Lund, Sweden is seeking a passionate AI/ML professional to work on cutting-edge technologies across various domains. Key responsibilities include designing, training, and validating ML models for computer vision and embedded systems.

The ideal candidate will have strong experience in Python and ML frameworks, a Master's or PhD in a related field, and at least 2 years of hands-on experience. The role offers flexible working hours, opportunities for professional growth, and a vibrant work environment.

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