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What You'll Do:
- Develop and implement end-to-end solutions using the latest in machine learning and computer vision.
- Craft deep learning models using Python, with frameworks like PyTorch, TensorFlow, or Keras.
- Define and manage data collection and annotation processes, ensuring robust training and validation of our models.
- Work with talented cross-functional teams to seamlessly integrate your algorithms into FarmSee’s advanced monitoring systems.
- Keep your finger on the pulse of the latest advancements in computer vision and machine learning, bringing innovative ideas into our solutions.
What You Need:
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent.
- Minimum of 5 years of hands-on experience in Computer Vision, Machine and Deep Learning.
- Excellent understanding of Data Science concepts and methodologies.
- Solid understanding of classic image processing and computer vision methods.
- Proficiency in Python and experience with popular deep learning frameworks (PyTorch, TensorFlow, Keras).
- Ability to work independently with minimal supervision.
- Demonstrates a strong sense of accountability for tasks and outcomes.
- Ability to write high quality code in Python, including proficiency in object-oriented programming (OOP), design patterns, and software development best practices.
- Excellent communication and interpersonal skills, fostering effective collaboration with team members.
- Send us your CV and be a part of a forward-thinking team that’s pushing the boundaries of agricultural technology.
Key Skills
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