Ai Integration Architect — Queenstown

Placements24

South Africa

Vor Ort

ZAR 600.000 - 800.000

Vollzeit

Vor 10 Tagen

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Zusammenfassung

Placements24 in Sandton is seeking a Robotics Engineer to advance autonomous robotic systems through AI integration. You will work on perception, navigation, and manipulation, bridging hardware with intelligent software. This role offers exposure to cutting-edge robotics and AI in a dynamic environment.

The successful candidate will design and test AI algorithms, integrate ML models, and collaborate with hardware engineers to optimize system performance using ROS and related frameworks.

Qualifikationen

  • Experience in robotics with AI integration and computer vision.
  • Hands-on with ROS and robotic software development.

Aufgaben

  • Design, develop, and implement AI algorithms for robotic systems, focusing on perception, control, and navigation.
  • Integrate machine learning models and computer vision techniques into robotic platforms.
  • Develop and test robot software using ROS (Robot Operating System) and other relevant frameworks.
  • Collaborate with hardware engineers to ensure optimal performance and integration of AI components.

Jobbeschreibung

Robotics Engineer (Sandton)

Our client is looking for a highly skilled Robotics Engineer with expertise in AI integration to join their innovative team in Sandton. This role is pivotal in developing and enhancing the capabilities of advanced robotic systems by integrating cutting‑edge artificial intelligence technologies. You will work on challenging projects involving robot perception, navigation, manipulation, and decision‑making, ensuring seamless interaction between hardware and AI software. This position offers a unique opportunity to work at the intersection of robotics and AI, contributing to the development of intelligent autonomous systems in a dynamic environment.

Key Responsibilities
  • Design, develop, and implement AI algorithms for robotic systems, focusing on perception, control, and navigation.
  • Integrate machine learning models and computer vision techniques into robotic platforms.
  • Develop and test robot software using ROS (Robot Operating System) and other relevant frameworks.
  • Collaborate with hardware engineers to ensure optimal performance and integration of AI components.
  • Conduct
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