ML & EMBEDDED VISION SYSTEMS ENGINEER

Mycosense Inc
1 month ago

Role details

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

Job location

Tech stack

Artificial Intelligence
Computing Platforms
Computer Programming
Python (Programming Language)
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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