ML & EMBEDDED VISION SYSTEMS ENGINEER

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.