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AI Algorithm Engineer

◼️​Role
  

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  • Design and implement image processing algorithms using deep learning under the direction of the Software Development Lead.

  • Train high-accuracy models capable of handling diverse image data, including varying angles and object types. Analyze issues identified during testing, formulate hypotheses, and resolve them through parameter adjustments or algorithm refinement.

  • Select and utilize appropriate image processing libraries and tools based on project requirements to develop efficient algorithms. As tools and technologies are not predetermined, adaptability and flexibility are essential.

◼️​Ideal Candidate Profile
  

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  • Flexible in selecting optimal tools and technologies based on project needs.

  • Able to understand instructions accurately and work efficiently to achieve objectives.

  • Demonstrates a strong interest in image processing technology and a commitment to continuous learning and growth.

  • Persistent in analyzing test and operational data, improving performance through iterative refinements.

◼️​Requirements
  

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  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) or equivalent expertise.

  • Proficiency in utilizing image processing libraries such as OpenCV or scikit-image, or similar tools.

  • Strong skills in designing and implementing image processing algorithms using Python or C++.

  • Practical experience in feature analysis, data preprocessing, and feature engineering.

  • Ability to analyze issues identified during testing, logically develop hypotheses, and implement corrective actions.

  • Capability to understand team directives while working autonomously to resolve challenges.

◼️​Rewards
  

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  • Experience the fulfillment of directly addressing real-world challenges by implementing algorithms designed and refined by yourself in manufacturing environments.

  • Hone technical skills by tackling diverse datasets and conditions, pushing the boundaries of your expertise.

  • Gain opportunities to engage in the selection of tools and frameworks, providing exposure to a wide range of technologies.

  • Contribute to the manufacturing industry by deploying cutting-edge image processing technology, delivering new value and innovation to the field.

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