Work with team members to develop and implement AI projects.
The main job duties are the following:
1. 1.Master data analysis/cleansing and other data science technologies to understand data and design model architecture.
2. Identify and select AI/ML technologies to solve problems.
3. Deploy and integrate AI models into back-end servers and build up front-end interfaces(website or APP)
4. Cooperate with other departments to effectively use internal/external big data
5. Aggressively attend training courses, learn state of the art technologies and study top papers
實際薪資會依學經歷背景及相關工作經驗核薪
Education and Experience Qualifications:
1. Master, Department of computer information science or statistics
Requirements:
1. Can quickly master a new programming language
2. At least 1 year experience of Python development
3. At least 1 year experience of AI development
Other:
1. Passionate about researching AI, familiar with AI/ML technologies
2. Familiar with Python and at least one AI/ML Framework, ex: Keras
The following are preferred:
1. Experience in Kaggle competition and fine-tuning Neural Network models
2. Statistical or Applied mathematical background
3. Experience in web development(front-end or back-end)
4. Familiar with VM/Docker
身為全球科技領導品牌,華碩致力傳遞無與倫比的體驗,為世人擘劃美好數位生活藍圖。以進化式創新構築明日科技藍圖聞名,並持續以使用者為中心,打造最別出心裁、直覺易用的產品與解決方案。不斷再造進化的華碩深具雄心壯志,開創諸多令人驚艷的電競、創作者、AIoT與雲端計算解決方案,克服用戶痛點並傳遞無所不在的幸福感。
華碩匯聚眾多領先業界的專家,持續以企業家精神與對創新的熱情,耕耘科技領域的未來。擁有近五千名世界級研發菁英,華碩平均每天獲得超過11個獎項,更受美國《財富》雜誌評選為「世界最受推崇企業」之一。
在One ASUS精神引領之下,華碩人齊心追尋無與倫比,落實「再造進化、真實透明、發揮眾智、創意擇優」的企業轉型,我們深知明日的美好歷程始於今天的行動,華碩人致力為產業立定新標竿,具體展現對環境與社會的重要承諾。
在華碩,每個人都可以找到前所未有的機會,突破極限、放膽實現夢想。
瞭解更多關於華碩,歡迎造訪:asus.com/about-asus/.