ML & EMBEDDED VISION SYSTEMS ENGINEER

Mycosense Inc
Bourg-en-Lavaux, Switzerland
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Bourg-en-Lavaux, Switzerland

Tech stack

Artificial Intelligence
Computing Platforms
Computer Programming
Python
Machine Learning
TensorFlow
Visual Systems
Feature Engineering
PyTorch
Keras
Information Technology

Job description

  • 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.

Requirements

Do you have experience in Research?, Do you have a Master's degree?, * 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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