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DEEP LEARNING ENGINEER

We are searching for yet another skilled and forward-thinking Deep Learning Engineer to join our team in the industrial mushroom growing sector. As a Deep Learning Engineer, you will drive the development and implementation of advanced deep learning models to revolutionize various aspects of the mushroom cultivation processes.

LOCATION

Lausanne

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Spearhead the design and deployment of deep learning architectures to optimize mushroom cultivation efficiency, yield, and quality.

  • Collaborate closely with interdisciplinary teams to identify cultivation challenges and engineer deep learning solutions.

  • Utilize deep learning techniques to analyze intricate datasets encompassing growth parameters, environmental variables, and production outcomes.

  • Develop and fine-tune deep neural networks for predicting mushroom growth patterns and refining harvesting schedules.

  • Create intelligent systems for real-time monitoring of cultivation conditions, enabling rapid response to anomalies and potential issues.

  • Collaborate with domain experts to seamlessly integrate deep learning technologies into existing cultivation workflows.

  • Experiment with cutting-edge deep learning frameworks and methodologies to drive innovation within the realm of mushroom cultivation.

  • Lead the planning and execution of experiments to validate the effectiveness of deep learning-driven strategies in real-world scenarios.

Who You are

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • Demonstrated expertise in deep learning research and applications, with a focus on convolutional and recurrent neural networks.

  • Proficiency in programming languages like Python and hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Caffe.

  • Solid understanding of data preprocessing, model architecture design, and performance evaluation techniques.

  • Prior exposure to applying deep learning in agricultural or biotechnological contexts is advantageous.

  • Analytical mindset and creative problem-solving abilities for addressing complex challenges in mushroom cultivation.

  • Excellent communication skills for effectively conveying complex technical ideas to diverse audiences.

  • Team player attitude with the ability to collaborate seamlessly within cross-functional teams.

  • Keen interest in staying at the forefront of deep learning trends and the drive to translate these trends into practical solutions.

  • Contributions to open-source projects or relevant publications is a plus.

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