

AI Algorithm Engineer
◼️Role
-
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
-
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
-
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
-
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.