Research Associate (Machine Learning Engineer)
Job details
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 enjoys working closely with a team.
Qualifications
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, with at least basic experience in C/C++.
Experience with microcontrollers or embedded computers such as Raspberry 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, and algorithms.
Good communication skills and a tendency to work in a team.
This position requires frequent travel.#J-18808-Ljbffr
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