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Let's build the future of agriculture together

A machine learning engineer would have the following responsibilities:

- Develop and implement machine learning models for agricultural applications
- Analyze data from field tests and other sources to inform model development and improve system performance
- Collaborate with cross-functional teams to integrate machine learning models into the overall system design
- Evaluate and compare different machine learning algorithms and techniques to determine the best solution for a given problem
- Debug and optimize machine learning models in real-world scenarios
- Stay up-to-date with the latest machine learning research and technologies
- Participate in field testing to gather data and evaluate system performance.

Job skills and requirements for this position include:

- Bachelor's or Master's degree in Data Science, Machine Learning, or a related field
- Strong background in machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning
- Familiar with programming languages such as Python, R, and MATLAB
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn
- Familiarity with agricultural equipment and understanding of farming operations
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills to work with cross-functional teams
- Ability to debug and optimize machine learning models in real-world scenarios.

* To apply send your resume to "saeed (AT) salin247inc (DOT) com"

A computer vision engineer would have the following responsibilities:

- Design and develop computer vision algorithms for agricultural applications
- Implement image and video processing techniques to extract information and control equipment
- Conduct experiments to improve the accuracy and robustness of computer vision systems
- Collaborate with cross-functional teams to integrate computer vision algorithms into the overall system design
- Debug and optimize computer vision systems in real-world scenarios
- Stay up-to-date with the latest computer vision research and technologies
- Participate in field testing to gather data and evaluate system performance.

Job skills and requirements for this position include:

- Bachelor's or Master's degree in Computer Science, Computer Vision, or a related field
- Strong background in computer vision, including image processing, object detection and recognition, and 3D reconstruction
- Familiar with programming languages such as Python, C++, and MATLAB
- Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch
- Familiarity with agricultural equipment and understanding of farming operations
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills to work with cross-functional teams
- Ability to debug and optimize computer vision systems in real-world scenarios.

* To apply send your resume to "saeed (AT) salin247inc (DOT) com"

A robotics engineer would have the following responsibilities:

- Design, develop and test robotic systems for agricultural applications
- Integrate hardware and software components to create efficient and effective farming equipment
- Conduct field tests and gather data to inform design and performance improvements
- Collaborate with cross-functional teams to ensure smooth implementation of equipment in farm environments
- Maintain and repair equipment to ensure optimal performance
- Stay up-to-date with industry developments and new technologies to inform design decisions and improve equipment.

Job skills and requirements for this position include:

- Bachelor's or Master's degree in Robotics, Electrical or Mechanical Engineering or related fields
- Strong understanding of robotics and control systems, including sensor technologies and autonomous navigation
- Familiar with programming languages such as C++, Python, and MATLAB
- Experience with hardware design and integration, including electrical, mechanical, and control systems
- Familiarity with agricultural equipment and understanding of farming operations
- Ability to conduct field tests, collect and analyze data, and make informed design decisions
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills to work with cross-functional teams.

* To apply send your resume to "saeed (AT) salin247inc (DOT) com"

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