模型開發與優化:設計、訓練並優化 AI 模型。
模型量化與部署:實施模型量化等技術,確保模型能在指定之 edge AI上高效運行。
數據處理與分析:透過資料清洗、標註和增強,分析與改善現有訓練數據。
演算法改進與研究:掌握最新的 AI 技術和演算法,並應用於現有系統的改進。
跨部門與團隊合作:與系統整合及其他團隊成員協同合作,確保 AI 解決方案符合實際需求,並共同達成目標。
1. Layout & Plan UI: Cowork with UI/UX Team to fit customer requirements.
2. Integration and Development: Use and modify proprietary framework to integrate AI models into production and ensure smooth deployment to customer requirements.
3. Documentation & Maintenance: Document stuff(processes/algorithms/results) for sharing and maintain commitments of projects.
Responsibilities:
1. Develop and optimize image processing algorithms, including but not limited to image segmentation, enhancement, feature extraction, etc.
2. Apply generative AI techniques (e.g., GANs) to create and improve image/video.
3. Design and implement deep learning models, conducting experiments and fine-tuning to improve image processing and performance.
4. Collaborate with cross-functional teams to apply AI technologies to real-world business problems.
5. Stay updated with the latest AI research trends and explore how cutting-edge technologies can be applied to company products.
6. Write efficient, maintainable code and produce technical documentation and reports.
Qualifications:
1. Master’s degree or higher in Computer Science, Electrical Engineering, Mathematics, or a related field.
2. Proficiency in image processing techniques such as image enhancement, feature detection, segmentation, and filtering.
3. Strong understanding and practical experience with generative AI technologies.
4. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and practical experience with these tools.
5. Proficiency in Python programming, capable of efficiently developing and deploying AI models.
6. Strong data processing and analysis skills, with experience using tools like NumPy, OpenCV, etc.
7. Strong mathematical foundation, especially in machine learning and computer vision.
8. Good teamwork and communication skills.