The selected candidate will work as a machine learning developer for solving problems related to crop monitoring and disease detection using a variety of sensing modalities such as vision and LiDAR. Responsibilities will include problem analysis, solution research, software design and architecture, development, deployment and testing.

Responsibilities

• Solid understanding of deep learning and state of the art machine learning algorithms particularly in the domain of computer vision applications. 
• Aware of the best practices and procedures applied in designing and implementing deep learning-based solutions.
• Understands the OneSource software paradigm.
• Results-driven and enjoy working closely with a team.  

Qualification

• A BS or MS degree in Electrical Engineering, Computer Science or Computer Engineering from a HEC recognized institution.
• Fresh graduates can apply. 
• Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)

Skills and Attributes

• Strong programming skills in Python, TensorFlow, and Keras, at least basic experience in C/C++.
• Should have experience with microcontrollers or embedded computers such as Rasberry PI or Jetson Nano. 
• Good understanding of Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence). 
• Strong fundamentals in mathematics, statistics, probability theory, algorithms.
• Good communication skills and tendency to work in a team.
  
   This position requires travelling often.