求才職稱 | 資格條件 | 工作內容 | 待遇 | 工作地點 | 需求人數 |
AI演算法工程師
(理工科系職缺:不拘)
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1. Proficiency in AI Frameworks Extensive experience with AI frameworks such as TensorFlow, PyTorch, Keras, or similar and transformation between. 2. Good Programming Skills Proficiency in Python and C++ languages and Linux programming. Familiarity with libraries like pandas, scikit-learn, and OpenCV is a plus. 3. Data Processing & Analysis Good knowledge of data preprocessing, labeling and feature extraction for training AI models. 4. Network Communication Knowledge of multimedia transmission on network protocol(TCPIP/RTSP). 5. Collaboration and Teamwork Experience working in cross-functional teams and collaborating with non-technical teams to deliver AI solutions.
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1. Model Development Design, develop, and implement/convert AI models for various business applications. 2. Data Preprocessing Clean, preprocess, and transform data into formats suitable for AI model training. 3. Algorithm Optimization Evaluation, tuning and improve the performance of AI models in terms of accuracy, speed, and scalability, to achieve optimal results. 4. Integration and Deployment Integrate AI models into production systems and ensure smooth deployment to customer's environments. 5. Documentation & Maintainance Document AI stuff(processes/algorithms/results) for sharing and maintain commitments of projects.
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面議
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新竹市
東區慈雲路118號6樓之2
| 1 |
AI工程師
(理工科系職缺:是)
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1. Implementation and design for AI platform on embedded linux, Ubuntu and Windows such as image preprocess, AI model output postprocess and system integration. 2. Study certain AI models and open sources for feasibility study or research AI algorithms for industrial field. 3. Dataset collection and labeling and training AI model such as pytorch, tensorflow and caffe.
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1. Familiar with Python, C/C++, Linux shell script. 2. Familiar with fundamental AI algorithm and computer vision knowledge. 3. Experience in deploying any kind of AI model and the ability of designing customized AI Runtime applications. 4. Experience for related AI dataset collection, labeling and AI model training. 5. Experience with operating, porting and implementing any opensource related for AI feasibility study or AI system performance verification and analytics on Linux/Ubuntu or Windows. 6. Must be passionate about new technologies and have a positive and innovative independent learning attitude. 7. Good communication skills and high sense of responsibility.
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面議
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新竹市
東區慈雲路118號6樓之2
| 1 |