ml & embedded vision systems engineer

vor 1 Tag

Cully VD, Waadt, Schweiz MycoSense Inc. Vollzeit

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Join our team developing the hottest apps in the industrial mushroom farming sector. As an ML & Embedded Systems engineer focused on leading-edge computer vision & robotics applications, you will play a pivotal role in developing and applying cutting-edge technologies to optimize key aspects of our mushroom cultivation processes.

LOCATION

Cully, Switzerland

EMPLOYMENT TYPE

Permanent

What You'll Do
  • Participate in the development of AI models and algorithms to enhance mushroom cultivation efficiency, yield, and quality.
  • Collaborate with cross-functional teams to design ML-powered solutions driving industrial machinery including robots
  • Explore and implement advanced machine learning techniques for analyzing complex datasets related to growth conditions, environmental factors, and production outcomes.

  • Optimise your code for running efficiently on edge computing platforms

  • Develop predictive models for estimating mushroom growth patterns and optimizing harvesting strategies.

  • Create and train AI models for real-time monitoring of cultivation parameters, enabling early detection of anomalies and potential issues.
  • Collaborate with domain experts to integrate AI technologies into existing cultivation workflows.
  • Experiment with emerging AI technologies and frameworks to drive continuous innovation in mushroom cultivation practices.
Who You are
  • Ph.D. or Master's degree in Artificial Intelligence, Computer Science, Machine Learning, or a related field.
  • Proven experience developing highly efficient code designed for embedded systems
  • Strong programming skills in languages such as Python, along with experience using AI frameworks like TensorFlow, PyTorch, Keras, etc.

  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

  • Hands-on experience with Nvidia Jetson Orin processors is a plus

  • Strong analytical and problem-solving abilities to tackle complex challenges
  • Excellent communication skills to convey research findings to both technical and non-technical stakeholders.
  • Ability to work collaboratively in interdisciplinary teams and manage research projects.

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